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Design and Analysis of Pragmatic Trials

Design and Analysis of Pragmatic Trials

This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage. It discusses the advantages and disadvantages of each type of PCT and provides sample size formulas sensitivity analyses and examples for sample size calculation. The generalized estimating equation (GEE) method will be employed to derive sample size formulas for various types of outcomes from the exponential family including continuous binary and count variables. Experimental designs that have been frequently employed in PCTs will be discussed including cluster randomized designs matched-pair cluster randomized design stratified cluster randomized design stepped-wedge cluster randomized design longitudinal cluster randomized design and crossover cluster randomized design. It demonstrates that the GEE approach is flexible to accommodate pragmatic issues such as hierarchical correlation structures different missing data patterns randomly varying cluster sizes etc. It has been reported that the GEE approach leads to under-estimated variance with limited numbers of clusters. The remedy for this limitation is investigated for the design of PCTs. This book can assist practitioners in the design of PCTs by providing a description of the advantages and disadvantages of various PCTs and sample size formulas that address various pragmatic issues facilitating the proper implementation of PCTs to improve health care. It can also serve as a textbook for biostatistics students at the graduate level to enhance their knowledge or skill in clinical trial design. Key Features: Discuss the advantages and disadvantages of each type of PCTs and provide sample size formulas sensitivity analyses and examples. Address an unmet need for guidance books on sample size calculations for PCTs; A wide variety of experimental designs adopted by PCTs are covered; The sample size solutions can be readily implemented due to the accommodation of common pragmatic issues encountered in real-world practice; Useful to both academic and industrial biostatisticians involved in clinical trial design; Can be used as a textbook for graduate students majoring in statistics and biostatistics. | Design and Analysis of Pragmatic Trials

GBP 89.99
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The Art of Algorithm Design

The Art of Algorithm Design

The Art of Algorithm Design is a complementary perception of all books on algorithm design and is a roadmap for all levels of learners as well as professionals dealing with algorithmic problems. Further the book provides a comprehensive introduction to algorithms and covers them in considerable depth yet makes their design and analysis accessible to all levels of readers. All algorithms are described and designed with a pseudo-code to be readable by anyone with little knowledge of programming. This book comprises of a comprehensive set of problems and their solutions against each algorithm to demonstrate its executional assessment and complexity with an objective to: Understand the introductory concepts and design principles of algorithms and their complexities Demonstrate the programming implementations of all the algorithms using C-Language Be an excellent handbook on algorithms with self-explanatory chapters enriched with problems and solutions While other books may also cover some of the same topics this book is designed to be both versatile and complete as it traverses through step-by-step concepts and methods for analyzing each algorithmic complexity with pseudo-code examples. Moreover the book provides an enjoyable primer to the field of algorithms. This book is designed for undergraduates and postgraduates studying algorithm design.

GBP 150.00
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Sampling Design and Analysis

Sampling Design and Analysis

The level is appropriate for an upper-level undergraduate or graduate-level statistics major. Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to understand the concepts of sampling from a finite population. A student with patience to delve into the rigor of survey statistics will gain even more from the content that SDA offers. The updates to SDA have potential to enrich traditional survey sampling classes at both the undergraduate and graduate levels. The new discussions of low response rates non-probability surveys and internet as a data collection mode hold particular value as these statistical issues have become increasingly important in survey practice in recent years… I would eagerly adopt the new edition of SDA as the required textbook. (Emily Berg Iowa State University) What is the unemployment rate? What is the total area of land planted with soybeans? How many persons have antibodies to the virus causing COVID-19? Sampling: Design and Analysis Third Edition shows you how to design and analyze surveys to answer these and other questions. This authoritative text used as a standard reference by numerous survey organizations teaches the principles of sampling with examples from social sciences public opinion research public health business agriculture and ecology. Readers should be familiar with concepts from an introductory statistics class including probability and linear regression; optional sections contain statistical theory for readers familiar with mathematical statistics. Key Features: Has been thoroughly revised to incorporate recent research and applications. Includes a new chapter on nonprobability samples and more than 200 new examples and exercises have been added. Teaches the principles of sampling with examples from social sciences public opinion research public health business agriculture and ecology. SDA’s companion website contains data sets computer code and links to two free downloadable supplementary books (also available in paperback) that provide step-by-step guides—with code annotated output and helpful tips—for working through the SDA examples. Instructors can use either R or SAS® software. SAS® Software Companion for Sampling: Design and Analysis Third Edition by Sharon L. Lohr (2022 CRC Press) R Companion for Sampling: Design and Analysis Third Edition by Yan Lu and Sharon L. Lohr (2022 CRC Press) | Sampling Design and Analysis

GBP 66.99
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Mixed-Mode Official Surveys Design and Analysis

Mixed-Mode Official Surveys Design and Analysis

Mixed-mode surveys have become a standard at many statistical institutes. However the introduction of multiple modes in one design goes with challenges to both methodology and logistics. Mode-specific representation and measurement differences become explicit and demand for solutions in data collection design questionnaire design and estimation. This is especially true when surveys are repeated and are input to long time series of official statistics. So how can statistical institutes deal with such changes? What are the origins of mode-specific error? And how can they be dealt with? In this book the authors provide answers to these questions and much more. Features Concise introduction to all the key elements of mixed-mode survey design and analysis Realistic official statistics examples from three general population surveys Suitable for survey managers and survey statisticians alike An overview of mode-specific representation and measurement errors and how to avoid reduce and adjust them. | Mixed-Mode Official Surveys Design and Analysis

GBP 44.99
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Design of Experiments An Introduction Based on Linear Models

Design of Experiments An Introduction Based on Linear Models

Offering deep insight into the connections between design choice and the resulting statistical analysis Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models completely randomized designs randomized complete blocks designs Latin squares analysis of data from orthogonally blocked designs balanced incomplete block designs random block effects split-plot designs and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments regression model design and an introduction to optimal design. To emphasize the practical value of design most chapters contain a short example of a real-world experiment. Details of the calculations performed using R along with an overview of the R commands are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment. | Design of Experiments An Introduction Based on Linear Models

GBP 74.99
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Introduction to Web Interaction Design With HTML and CSS

Introduction to Web Interaction Design With HTML and CSS

This book introduces standard and new HTML5 elements and attributes and CSS3 properties commonly used in Web design as well as design guidelines for their effective use. Its approach of explaining every line of code in the examples it uses to show the usage of the HTML elements and CSS properties introduced makes it an invaluable Web design resource for beginners as well as intermediates looking to fill in gaps in their knowledge. In addition the inclusion of user-centered design process stages and how they are best managed in website development makes the book unique in its area. Also the book's approach of including challenges after each topic to help refresh readers' knowledge as well as make them think ensures that there are ample activities to keep learners motivated and engaged. Key Features Comprehensively covers standard and new HTML5 elements and attributes and CSS3 properties. Includes a lot of challenges/exercises; one after each HTML element or CSS property introduced and demonstrated with examples. Example codes can be copied and pasted as-is to implement and experiment with. For every HTML element or CSS property introduced guidelines are provided where relevant on how to best use them in a design to enhance usability and accessibility. Includes comprehensive explanation of flexible box and grid layout models and how to use them to create responsive and adaptive Web design. Covers the importance of visual aesthetics in design including design elements and principles and examples of how they can be applied in Web design to produce good user experience. Includes comprehensive guidelines on how to design for standard and mobile screens including discussion of touch gesture interaction design and standard gestures and the functions for which they are most commonly used. Introduces the stages of user-centered design process including Web accessibility and user-experience testing and managerial aspects of Web development including intellectual property. Provides a brief introduction on how to make HTML and CSS codes more compact and more efficient and how to combine them with other languages commonly used in Web design and development such as JavaScript AJAX and PHP. | Introduction to Web Interaction Design With HTML and CSS

GBP 59.99
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Design and Analysis of Experiments and Observational Studies using R

Design and Analysis of Experiments and Observational Studies using R

Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected. Features: Classical experimental design with an emphasis on computation using tidyverse packages in R. Applications of experimental design to clinical trials A/B testing and other modern examples. Discussion of the link between classical experimental design and causal inference. The role of randomization in experimental design and sampling in the big data era. Exercises with solutions. Instructor slides in RMarkdown a new R package will be developed to be used with book and a bookdown version of the book will be freely available. The proposed book will emphasize ethics communication and decision making as part of design data analysis and statistical thinking. | Design and Analysis of Experiments and Observational Studies using R

GBP 82.99
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Operating System Design The Xinu Approach Second Edition

Operating System Design The Xinu Approach Second Edition

An Update of the Most Practical A-to-Z Operating System BookWidely lauded for avoiding the typical black box approach found in other operating system textbooks the first edition of this bestselling book taught readers how an operating system works and explained how to build it from the ground up. Continuing to follow a logical pattern for system design Operating System Design: The Xinu Approach Second Edition removes the mystery from operating system design and consolidates the body of material into a systematic discipline. It presents a hierarchical design paradigm that organizes major operating system components in an orderly understandable manner. The book guides readers through the construction of a conventional process-based operating system using practical straightforward primitives. It gives the implementation details of one set of primitives usually the most popular set. Once readers understand how primitives can be implemented on conventional hardware they can then easily implement alternative versions. The text begins with a bare machine and proceeds step-by-step through the design and implementation of Xinu which is a small elegant operating system that supports dynamic process creation dynamic memory allocation network communication local and remote file systems a shell and device-independent I/O functions. The Xinu code runs on many hardware platforms. This second edition has been completely rewritten to contrast operating systems for RISC and CISC processors. Encouraging hands-on experimentation the book provides updated code throughout and examples for two low-cost experimenter boards: BeagleBone Black from ARM and Galileo from Intel. | Operating System Design The Xinu Approach Second Edition

GBP 39.99
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Design and Analysis of Ecological Experiments

Design and Analysis of Ecological Experiments

The goal of this book is to make some underutilized but potentially very useful methods in experimental design and analysis available to ecologists and to encourage better use of standard statistical techniques. Ecology has become more and more an experimental science in both basic and applied work but experiments in the field and in the laboratory often present formidable statistical difficulties. Organized around providing solutions to ecological problems this book offers ways to improve the statistical aspects of conducting manipulative ecological experiments from setting them up to interpreting and reporting the results. An abundance of tools including advanced approaches are made available to ecologists in step-by-step examples with computer code provided for common statistical packages. This is an essential how-to guide for the working ecologist and for graduate students preparing for research and teaching careers in the field of ecology. | Design and Analysis of Ecological Experiments

GBP 56.99
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Handbook of Design and Analysis of Experiments

Handbook of Design and Analysis of Experiments

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field the chapters offer a balanced blend of methodology and applications. The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model the third section covers designs with multiple factors (both treatment and blocking factors) and the fourth section presents optimal designs for generalized linear models other nonlinear models and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores cross-cutting issues relevant to all experimental designs including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas. This comprehensive handbook equips new researchers with a broad understanding of the field’s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing the basic sciences and any discipline that depends on controlled experimental investigation.

GBP 66.99
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Design and Analysis of Bridging Studies

Design and Analysis of Bridging Studies

As the development of medicines has become more globalized the geographic variations in the efficacy and safety of pharmaceutical products need to be addressed. To accelerate the product development process and shorten approval time researchers are beginning to design multiregional trials that incorporate subjects from many countries around the world under the same protocol. Design and Analysis of Bridging Studies addresses the issues arising from bridging studies and multiregional clinical trials. For bridging studies the book explores ethnic sensitivity the necessity of bridging studies types of bridging studies and the assessment of similarity between regions based on bridging evidence. For multiregional clinical trials the text considers regional differences assesses the consistency of treatment effect across regions and discusses sample size determination for each region. Taking into account the International Conference Harmonisation (ICH) E5 framework for bridging studies the book provides a unified summary of the growing literature and research activities in this area. It covers the regulatory requirements scientific and practical issues and statistical methodology for designing and evaluating bridging studies and multiregional clinical trials with the goal of inspiring new research activities in the field.

GBP 44.99
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Design of Experiments for Generalized Linear Models

Design of Experiments for Generalized Linear Models

Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution. While numerous books exist on how to analyse data using a GLM little information is available on how to collect the data that are to be analysed in this way. This is the first book focusing specifically on the design of experiments for GLMs. Much of the research literature on this topic is at a high mathematical level and without any information on computation. This book explains the motivation behind various techniques reduces the difficulty of the mathematics or moves it to one side if it cannot be avoided and gives examples of how to write and run computer programs using R. FeaturesThe generalisation of the linear model to GLMsBackground mathematics and the use of constrained optimisation in RCoverage of the theory behind the optimality of a designIndividual chapters on designs for data that have Binomial or Poisson distributionsBayesian experimental designAn online resource contains R programs used in the bookThis book is aimed at readers who have done elementary differentiation and understand minimal matrix algebra and have familiarity with R. It equips professional statisticians to read the research literature. Nonstatisticians will be able to design their own experiments by following the examples and using the programs provided. | Design of Experiments for Generalized Linear Models

GBP 38.99
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Design and Analysis of Experiments Classical and Regression Approaches with SAS

Design and Analysis of Experiments Classical and Regression Approaches with SAS

Unlike other books on the modeling and analysis of experimental data Design and Analysis of Experiments: Classical and Regression Approaches with SAS not only covers classical experimental design theory it also explores regression approaches. Capitalizing on the availability of cutting-edge software the author uses both manual methods and SAS programs to carry out analyses. The book presents most of the different designs covered in a typical experimental design course. It discusses the requirements for good experimentation the completely randomized design the use of orthogonal contrast to test hypotheses and the model adequacy check. With an emphasis on two-factor factorial experiments the author analyzes repeated measures as well as fixed random and mixed effects models. He also describes designs with randomization restrictions before delving into the special cases of the 2k and 3k factorial designs including fractional replication and confounding. In addition the book covers response surfaces balanced incomplete block and hierarchical designs ANOVA ANCOVA and MANOVA. Fortifying the theory and computations with practical exercises and supplemental material this distinctive text provides a modern comprehensive treatment of experimental design and analysis. | Design and Analysis of Experiments Classical and Regression Approaches with SAS

GBP 59.99
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Embedded and Networking Systems Design Software and Implementation

Embedded and Networking Systems Design Software and Implementation

Embedded and Networking Systems: Design Software and Implementation explores issues related to the design and synthesis of high-performance embedded computer systems and networks. The emphasis is on the fundamental concepts and analytical techniques that are applicable to a range of embedded and networking applications rather than on specific embedded architectures software development or system-level integration. This system point of view guides designers in dealing with the trade-offs to optimize performance power cost and other system-level non-functional requirements. The book brings together contributions by researchers and experts from around the world offering a global view of the latest research and development in embedded and networking systems. Chapters highlight the evolution and trends in the field and supply a fundamental and analytical understanding of some underlying technologies. Topics include the co-design of embedded systems code optimization for a variety of applications power and performance trade-offs benchmarks for evaluating embedded systems and their components and mobile sensor network systems. The book also looks at novel applications such as mobile sensor systems and video networks. A comprehensive review of groundbreaking technology and applications this book is a timely resource for system designers researchers and students interested in the possibilities of embedded and networking systems. It gives readers a better understanding of an emerging technology evolution that is helping drive telecommunications into the next decade. | Embedded and Networking Systems Design Software and Implementation

GBP 77.99
1

Design of Experiments for Agriculture and the Natural Sciences

Design of Experiments for Agriculture and the Natural Sciences

Written to meet the needs of both students and applied researchers Design of Experiments for Agriculture and the Natural Sciences Second Edition serves as an introductory guide to experimental design and analysis. Like the popular original this thorough text provides an understanding of the logical underpinnings of design and analysis by selecting and discussing only those carefully chosen designs that offer the greatest utility. However it improves on the first edition by adhering to a step-by-step process that greatly improves accessibility and understanding. Real problems from different areas of agriculture and science are presented throughout to show how practical issues of design and analysis are best handled. Completely revised to greatly enhance readability this new edition includes:A new chapter on covariance analysis to help readers reduce errors while enhancing their ability to examine covariances among selected variablesExpanded material on multiple regression and variance analysisAdditional examples problems and case studiesA step-by-step Minitab® guide to help with data analysisIntended for those in the agriculture environmental and natural science fields as well as statisticians this text requires no previous exposure to analysis of variance although some familiarity with basic statistical fundamentals is assumed. In keeping with the book's practical orientation numerous workable problems are presented throughout to reinforce the reader's ability to creatively apply the principles and concepts in any given situation.

GBP 44.99
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Unity in Embedded System Design and Robotics A Step-by-Step Guide

Unity in Embedded System Design and Robotics A Step-by-Step Guide

The first book of its kind Unity in Embedded System Design and Robotics provides a step-by-step guide to Unity for embedded system design and robotics. It is an open gateway for anyone who wants to learn Unity through real projects and examples as well as a particularly useful aid for both professionals and students in the fields of embedded system design and robotics. Each chapter contains a unique project. The user is guided through the different windows and sections of Unity every step of the way. The book also includes projects that connect Unity to Arduino and Raspberry Pi which will help readers better understand various Unity applications in the real world. | Unity in Embedded System Design and Robotics A Step-by-Step Guide

GBP 82.99
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The Effect An Introduction to Research Design and Causality

The Effect An Introduction to Research Design and Causality

The Effect: An Introduction to Research Design and Causality is about research design specifically concerning research that uses observational data to make a causal inference. It is separated into two halves each with different approaches to that subject. The first half goes through the concepts of causality with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we “add a control variable” what does that actually do? Key Features: • Extensive code examples in R Stata and Python • Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects simulation and power analysis new cutting-edge methods and uncomfortable ignored assumptions • An easy-to-read conversational tone • Up-to-date coverage of methods with fast-moving literatures like difference-in-differences | The Effect An Introduction to Research Design and Causality

GBP 29.99
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Operating Systems Evolutionary Concepts and Modern Design Principles

Operating Systems Evolutionary Concepts and Modern Design Principles

This text demystifies the subject of operating systems by using a simple step-by-step approach from fundamentals to modern concepts of traditional uniprocessor operating systems in addition to advanced operating systems on various multiple-processor platforms and also real-time operating systems (RTOSs). While giving insight into the generic operating systems of today its primary objective is to integrate concepts techniques and case studies into cohesive chapters that provide a reasonable balance between theoretical design issues and practical implementation details. It addresses most of the issues that need to be resolved in the design and development of continuously evolving rich diversified modern operating systems and describes successful implementation approaches in the form of abstract models and algorithms. This book is primarily intended for use in undergraduate courses in any discipline and also for a substantial portion of postgraduate courses that include the subject of operating systems. It can also be used for self-study. Key Features • Exhaustive discussions on traditional uniprocessor-based generic operating systems with figures tables and also real-life implementations of Windows UNIX Linux and to some extent Sun Solaris. • Separate chapter on security and protection: a grand challenge in the domain of today’s operating systems describing many different issues including implementation in modern operating systems like UNIX Linux and Windows. • Separate chapter on advanced operating systems detailing major design issues and salient features of multiple-processor-based operating systems including distributed operating systems. Cluster architecture; a low-cost base substitute for true distributed systems is explained including its classification merits and drawbacks. • Separate chapter on real-time operating systems containing fundamental topics useful concepts and major issues as well as a few different types of real-life implementations. • Online Support Material is provided to negotiate acute page constraint which is exclusively a part and parcel of the text delivered in this book containing the chapter-wise/topic-wise detail explanation with representative figures of many important areas for the completeness of the narratives. | Operating Systems Evolutionary Concepts and Modern Design Principles

GBP 150.00
1

Metabolomics Practical Guide to Design and Analysis

Metabolomics Practical Guide to Design and Analysis

Metabolomics is the scientific study of the chemical processes in a living system environment and nutrition. It is a relatively new omics science but the potential applications are wide including medicine personalized medicine and intervention studies food and nutrition plants agriculture and environmental science. The topics presented and discussed in this book are based on the European Molecular Biology Organization (EMBO) practical courses in metabolomics bioinformatics taught to those working in the field from masters to postgraduate students PhDs postdoctoral and early PIs. The book covers the basics and fundamentals of data acquisition and analytical technologies but the primary focus is data handling and data analysis. The mentioning and usage of a particular data analysis tool has been avoided; rather the focus is on the concepts and principles of data processing and analysis. The material has been class-tested and includes lots of examples computing and exercises. Key Features:Provides an overview of qualitative /quantitative methods in metabolomicsOffers an introduction to the key concepts of metabolomics including experimental design and technologyCovers data handling processing analysis data standards and sharingContains lots of examples to illustrate the topicsIncludes contributions from some of the leading researchers in the field of metabolomics with extensive teaching experiences | Metabolomics Practical Guide to Design and Analysis

GBP 44.99
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AI by Design A Plan for Living with Artificial Intelligence

AI by Design A Plan for Living with Artificial Intelligence

This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology explores technology economics real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that rather than herald our downfall it helps us achieve a new renaissance. | AI by Design A Plan for Living with Artificial Intelligence

GBP 24.99
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Statistical Design and Analysis of Stability Studies

Statistical Design and Analysis of Stability Studies

The US Food and Drug Administration's Report to the Nation in 2004 and 2005 indicated that one of the top reasons for drug recall was that stability data did not support existing expiration dates. Pharmaceutical companies conduct stability studies to characterize the degradation of drug products and to estimate drug shelf life. Illustrating how stability studies play an important role in drug safety and quality assurance Statistical Design and Analysis of Stability Studies presents the principles and methodologies in the design and analysis of stability studies. After introducing the basic concepts of stability testing the book focuses on short-term stability studies and reviews several methods for estimating drug expiration dating periods. It then compares some commonly employed study designs and discusses both fixed and random batch statistical analyses. Following a chapter on the statistical methods for stability analysis under a linear mixed effects model the book examines stability analyses with discrete responses multiple components and frozen drug products. In addition the author provides statistical methods for dissolution testing and explores current issues and recent developments in stability studies. To ensure the safety of consumers professionals in the field must carry out stability studies to determine the reliability of drug products during their expiration period. This book provides the material necessary for you to perform stability designs and analyses in pharmaceutical research and development.

GBP 44.99
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Radar Systems Analysis and Design Using MATLAB

Radar Systems Analysis and Design Using MATLAB

The first edition of this ground-breaking and widely used book introduced a comprehensive textbook on radar systems analysis and design providing hands-on experience facilitated by its companion MATLAB® software. The book very quickly turned into a bestseller. Based on feedback provided by several users and drawing from the author's own teaching experience the 4th edition adopts a new approach. The presentation in this edition takes the reader on a scientific journey whose major landmarks comprise the different radar sub-systems and components. Along the way the different relevant radar subsystems are analyzed and discussed in great level of detail. Understanding the radar signal types and their associated radar signal processing techniques are key to understating how radar systems function. Each chapter provides the necessary mathematical and analytical coverage required for a sound understanding of radar theory. Additionally dedicated MATLAB® functions/programs enhance the understanding of the theory and establish a means to perform radar system analysis and design trades. The software provides users with numerous varieties of graphical outputs. Additionally a complete set of MATLAB® code that generates all plot and graphs found within the pages of this textbook are also available. All companion MATLAB® code can be downloaded from the book’s web page. The 4th Edition: Takes advantage of the new features offered by MATLAB® 2021 release Brings the text to a current state of the art Incorporates much of the feedback received from users using this book as a text and from practicing engineers; accordingly several chapters have been rewritten Presents unique topics not found in other books Maintains a comprehensive and exhaustive presentation Restructures the presentation to be more convenient for course use Provides a post-course reference for engineering students as they enter the field Offers a companion solutions manual for instructors The 4th edition will serve as a valuable tool to students and radar engineers by helping them better analyze and understand the many topics of radar systems. This book is written primarily as a graduate-level textbook although parts of it can be used as a senior level course. A companion solutions manual has been developed for use by instructors. | Radar Systems Analysis and Design Using MATLAB

GBP 105.00
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Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

A bestseller in its French edition this book is original in its construction and its success in the French market demonstrates its appeal. It is based on three principles: (1) An organization of the chapters by families of algorithms: exhaustive search divide and conquer etc. On the contrary there is no chapter devoted only to a systematic exposure of say algorithms on strings. Some of these will be found in different chapters. (2) For each family of algorithms an introduction is given to the mathematical principles and the issues of a rigorous design with one or two pedagogical examples. (3) For the most part the book details 150 problems spanning seven families of algorithms. For each problem a precise and progressive statement is given. More importantly a complete solution is detailed with respect to the design principles that have been presented; often some classical errors are pointed out. Roughly speaking two-thirds of the book is devoted to the detailed rational construction of the solutions. | Algorithm Design: A Methodological Approach - 150 problems and detailed solutions

GBP 48.99
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R Companion for Sampling Design and Analysis Third Edition

R Companion for Sampling Design and Analysis Third Edition

The R Companion for Sampling: Design and Analysis designed to be read alongside Sampling: Design and Analysis Third Edition by Sharon L. Lohr (SDA; 2022 CRC Press) shows how to use functions in base R and contributed packages to perform calculations for the examples in SDA. No prior experience with R is needed. Chapter 1 tells you how to obtain R and RStudio introduces basic features of the R statistical software environment and helps you get started with analyzing data. Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA with code output and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors. R features and functions are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book you will know how to use R to select and analyze almost any type of probability sample. All R code and data sets used in this book are available online to help you develop your skills analyzing survey data from social and public opinion research public health crime education business agriculture and ecology. | R Companion for Sampling Design and Analysis Third Edition

GBP 28.99
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Surrogates Gaussian Process Modeling Design and Optimization for the Applied Sciences

Surrogates Gaussian Process Modeling Design and Optimization for the Applied Sciences

Surrogates: a graduate textbook or professional handbook on topics at the interface between machine learning spatial statistics computer simulation meta-modeling (i. e. emulation) design of experiments and optimization. Experimentation through simulation human out-of-the-loop statistical support (focusing on the science) management of dynamic processes online and real-time analysis automation and practical application are at the forefront. Topics include:Gaussian process (GP) regression for flexible nonparametric and nonlinear modeling. Applications to uncertainty quantification sensitivity analysis calibration of computer models to field data sequential design/active learning and (blackbox/Bayesian) optimization under uncertainty. Advanced topics include treed partitioning local GP approximation modeling of simulation experiments (e. g. agent-based models) with coupled nonlinear mean and variance (heteroskedastic) models. Treatment appreciates historical response surface methodology (RSM) and canonical examples but emphasizes contemporary methods and implementation in R at modern scale. Rmarkdown facilitates a fully reproducible tour complete with motivation from application to and illustration with compelling real-data examples. Presentation targets numerically competent practitioners in engineering physical and biological sciences. Writing is statistical in form but the subjects are not about statistics. Rather they’re about prediction and synthesis under uncertainty; about visualization and information design and decision making computing and clean code. | Surrogates Gaussian Process Modeling Design and Optimization for the Applied Sciences

GBP 38.99
1