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Using R for Trade Policy Analysis - Massimiliano Porto - Bog - Springer Nature Switzerland AG - Plusbog.dk

Using R for Trade Policy Analysis - Massimiliano Porto - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO''s Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and explain how to implement the codes in R. This books targets readers with a basic knowledge of R. It is particularly suitable for Stata users.

DKK 495.00
1

Introduction to R for Terrestrial Ecology - Keith M. Reynolds - Bog - Springer Nature Switzerland AG - Plusbog.dk

Introduction to R for Terrestrial Ecology - Keith M. Reynolds - Bog - Springer Nature Switzerland AG - Plusbog.dk

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but part of the textbook is dedicated to advanced R applications, and will also be useful for Masters and PhD students, and professionals. The textbook deals with solving specific programming tasks in R, and tasks are organized in terms of gradually increasing R proficiency, with examples getting more challenging as the chapters progress. The main competencies students will acquire from this textbook are: - manipulating and processing data tables - performing statistical tests - creating maps in R This textbook will be useful in undergraduate and graduate courses in Advanced Landscape Ecology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics.

DKK 502.00
1

Walking with A/r/tography - Alexandra Lasczik - Bog - Springer Nature Switzerland AG - Plusbog.dk

Walking with A/r/tography - Alexandra Lasczik - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book focuses on critical walking and mapping practices through the research methodology of a/r/tography. Initially establishing seven global sites for employing movement-based research practices within culturally conceived a/r/tographic perspectives, the book builds upon and extends an international community of practice. The editors and contributors apply public pedagogy through a/r/tographic and critical walking inquiry, and explore how these forms may be engaged, understood and expanded globally. The chapters examine how a/r/tography and walking inquiry can be practiced, theorised, experienced, extended and conceptualised. The cartographic perspectives, theoretical positions and conceptual investigations included in this collection respond to the fundamental contemporary need for new and fresh models of teaching, learning and scholarship regarding global and local educational and social challenges. They offer tangible, aesthetic and rigorous examples for researchers, educators, community practitioners and research students to engage with a/r/tography and critical walking inquiry.

DKK 551.00
1

Text Analysis with R - Rosamond Thalken - Bog - Springer Nature Switzerland AG - Plusbog.dk

Text Analysis with R - Rosamond Thalken - Bog - Springer Nature Switzerland AG - Plusbog.dk

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale "microanalysis" of single texts to large scale "macroanalysis" of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book''s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.

DKK 434.00
1

Data Visualisation with R - Thomas Rahlf - Bog - Springer Nature Switzerland AG - Plusbog.dk

Data Visualisation with R - Thomas Rahlf - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R''s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript. The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields. This book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.

DKK 434.00
1

R For Marketing Research and Analytics - Elea Mcdonnell Feit - Bog - Springer Nature Switzerland AG - Plusbog.dk

R For Marketing Research and Analytics - Elea Mcdonnell Feit - Bog - Springer Nature Switzerland AG - Plusbog.dk

The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications. The 2nd edition increases the book''s utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: non-mathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code.

DKK 634.00
1

An Introduction to Data Analysis in R - Alfonso Zamora Saiz - Bog - Springer Nature Switzerland AG - Plusbog.dk

An Introduction to Data Analysis in R - Alfonso Zamora Saiz - Bog - Springer Nature Switzerland AG - Plusbog.dk

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

DKK 634.00
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Modern Optimization with R - Paulo Cortez - Bog - Springer Nature Switzerland AG - Plusbog.dk

Modern Optimization with R - Paulo Cortez - Bog - Springer Nature Switzerland AG - Plusbog.dk

The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R. This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution).

DKK 689.00
1

Statistical Analysis of Network Data with R - Eric D. Kolaczyk - Bog - Springer Nature Switzerland AG - Plusbog.dk

Statistical Analysis of Network Data with R - Eric D. Kolaczyk - Bog - Springer Nature Switzerland AG - Plusbog.dk

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.

DKK 634.00
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A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R - Juanjo Medina Ariza - Bog - Springer Nature Switzerland AG -

A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R - Juanjo Medina Ariza - Bog - Springer Nature Switzerland AG -

This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).

DKK 657.00
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A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R - Juanjo Medina Ariza - Bog - Springer Nature Switzerland AG -

A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R - Juanjo Medina Ariza - Bog - Springer Nature Switzerland AG -

This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).

DKK 519.00
1

Permutation Statistical Methods with R - Kenneth L. Kvamme - Bog - Springer Nature Switzerland AG - Plusbog.dk

Permutation Statistical Methods with R - Kenneth L. Kvamme - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs. It opens by comparing and contrasting two models of statistical inference: the classical population model espoused by J. Neyman and E.S. Pearson and the permutation model first introduced by R.A. Fisher and E.J.G. Pitman. Numerous comparisons of permutation and classical statistical methods are presented, supplemented with a variety of R scripts for ease of computation. The text follows the general outline of an introductory textbook in statistics with chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, completely-randomized analysis of variance, randomized-blocks analysis of variance, simple linear regression and correlation, and the analysis of goodness of fit and contingency. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity, depend only on the observed data, and do not require random sampling. The methods are relatively new in that it took modern computing power to make them available to those working in mainstream research. Designed for an audience with a limited statistical background, the book can easily serve as a textbook for undergraduate or graduate courses in statistics, psychology, economics, political science or biology. No statistical training beyond a first course in statistics is required, but some knowledge of, or some interest in, the R programming language is assumed.

DKK 816.00
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Statistical Regression Modeling with R - Ding Geng Chen - Bog - Springer Nature Switzerland AG - Plusbog.dk

Statistical Regression Modeling with R - Ding Geng Chen - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers'' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.

DKK 800.00
1

Geostatistics for Compositional Data with R - Raimon Tolosana Delgado - Bog - Springer Nature Switzerland AG - Plusbog.dk

Geostatistics for Compositional Data with R - Raimon Tolosana Delgado - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentrations distributed in space which exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some background on compositional data analysis. Block two introduces compositional exploratory tools for both non-spatial and spatial aspects. Block three covers all necessary facets of multivariate spatial prediction for compositional data: variogram modelling, cokriging and validation. Finally, block four details strategies for simulation of compositional data, including transformations to multivariate normality, Gaussian cosimulation, multipoint simulation of compositional data, and common postprocessing techniques, valid for both Gaussian and multipoint methods. All methods are illustrated via applications to two types of data sets: one a large-scale geochemical survey, comprised of a full suite of geochemical variables, and the other from a mining context, where only the elements of greatest importance are considered. R codes are included for all aspects of the methodology, encapsulated in the R package "gmGeostats", available in CRAN.

DKK 901.00
1

The Logical Writings of Karl Popper - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The Logical Writings of Karl Popper - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Part I: Articles.- Chapter 1. Introduction to Popper''s Articles on Logic (David Binder, Thomas Piecha, and Peter Schroeder-Heister).- Chapter 2. Are Contradictions Embracing? (1943) (Karl R. Popper).- Chapter 3. Logic without Assumptions (1947) (Karl R. Popper).- Chapter 4. New Foundations for Logic (1947) (Karl R. Popper).- Chapter 5. Functional Logic without Axioms or Primitive Rules of Inference (1947)(Karl R. Popper).- Chapter 6. On the Theory of Deduction, Part I. Derivation and its Generalizations (1948) (Karl R. Popper).- Chapter 7. On the Theory of Deduction, Part II. The Definitions of Classical and Intuitionist Negation (1948) (Karl R. Popper).- Chapter 8. The Trivialization of Mathematical Logic (1949) (Karl R. Popper).- Chapter 9. A Note on Tarski''s Definition of Truth (1955) (Karl R. Popper).- Chapter 10. On a Proposed Solution of the Paradox of the Liar (1955) (Karl R. Popper).- Chapter 11. On Subjunctive Conditionals with Impossible Antecedents (1959) (Karl R. Popper).- Chapter 12. Lejewski''s Axiomatization of My Theory of Deducibility (1974) (Karl R. Popper).- Chapter 13. Reviews of Popper''s Articles on Logic (Wilhelm Ackermann et.al).- Part II: Manuscripts.- Chapter 14. Introduction to Popper''s Manuscripts on Logic (David Binder, Thomas Piecha, and Peter Schroeder-Heister).- Chapter 15. On Systems of Rules of Inference (Karl R. Popper and Paul Bernays).- Chapter 16. A General Theory of Inference (Karl R. Popper).- Chapter 17. On the Logic of Negation (Karl R. Popper).- Chapter 18. A Note on the Classical Conditional (Karl R. Popper).- Part III: Correspondence.- Chapter 19. Introduction to Popper''s Correspondence on Logic (David Binder, Thomas Piecha, and Peter Schroeder-Heister).- Chapter 20. Popper''s Correspondence with Paul Bernays (Karl R. Popper and Paul Bernays).- Chapter 21. Popper''s Correspondence with Luitzen Egbertus Jan Brouwer (Karl R. Popper and Luitzen E. J. Brouwer).- Chapter 22. Popper''s Correspondence with Rudolf Carnap (Karl R. Popper and Rudolf Carnap).- Chapter 23. Popper''s Correspondence with Alonzo Church (Karl R. Popper and Alonzo Church).- Chapter 24. Popper''s Correspondence with Kalman Joseph Cohen (Karl R. Popper and Kalman J. Cohen).- Chapter 25. Popper''s Correspondence with Henry George Forder (Karl R. Popper and Henry George Forder).- Chapter 26. Popper''s Correspondence with Harold Jeffreys (Karl R. Popper and Harold Jeffreys).- Chapter 27. Popper''s Correspondence with Stephen Cole Kleene (Karl R. Popper and Stephen C. Kleene).- Chapter 28. Popper''s Correspondence with William Calvert Kneale (Karl R. Popper and William C. Kneale).- Chapter 29. Popper''s Correspondence with Willard Van Orman Quine (Karl R. Popper and Willard V. O. Quine).- Chapter 30. Popper''s Correspondence with Heinrich Scholz (Karl R. Popper and Heinrich Scholz).- Chapter 31. Popper''s Correspondence with Peter Schroeder-Heister (Karl R. Popper and Peter Schroeder-Heister).- Concordances.- Bibliography.- Index.

DKK 349.00
1

The Logical Writings of Karl Popper - - Bog - Springer Nature Switzerland AG - Plusbog.dk

The Logical Writings of Karl Popper - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Part I: Articles.- Chapter 1. Introduction to Popper''s Articles on Logic (David Binder, Thomas Piecha, and Peter Schroeder-Heister).- Chapter 2. Are Contradictions Embracing? (1943) (Karl R. Popper).- Chapter 3. Logic without Assumptions (1947) (Karl R. Popper).- Chapter 4. New Foundations for Logic (1947) (Karl R. Popper).- Chapter 5. Functional Logic without Axioms or Primitive Rules of Inference (1947)(Karl R. Popper).- Chapter 6. On the Theory of Deduction, Part I. Derivation and its Generalizations (1948) (Karl R. Popper).- Chapter 7. On the Theory of Deduction, Part II. The Definitions of Classical and Intuitionist Negation (1948) (Karl R. Popper).- Chapter 8. The Trivialization of Mathematical Logic (1949) (Karl R. Popper).- Chapter 9. A Note on Tarski''s Definition of Truth (1955) (Karl R. Popper).- Chapter 10. On a Proposed Solution of the Paradox of the Liar (1955) (Karl R. Popper).- Chapter 11. On Subjunctive Conditionals with Impossible Antecedents (1959) (Karl R. Popper).- Chapter 12. Lejewski''s Axiomatization of My Theory of Deducibility (1974) (Karl R. Popper).- Chapter 13. Reviews of Popper''s Articles on Logic (Wilhelm Ackermann et.al).- Part II: Manuscripts.- Chapter 14. Introduction to Popper''s Manuscripts on Logic (David Binder, Thomas Piecha, and Peter Schroeder-Heister).- Chapter 15. On Systems of Rules of Inference (Karl R. Popper and Paul Bernays).- Chapter 16. A General Theory of Inference (Karl R. Popper).- Chapter 17. On the Logic of Negation (Karl R. Popper).- Chapter 18. A Note on the Classical Conditional (Karl R. Popper).- Part III: Correspondence.- Chapter 19. Introduction to Popper''s Correspondence on Logic (David Binder, Thomas Piecha, and Peter Schroeder-Heister).- Chapter 20. Popper''s Correspondence with Paul Bernays (Karl R. Popper and Paul Bernays).- Chapter 21. Popper''s Correspondence with Luitzen Egbertus Jan Brouwer (Karl R. Popper and Luitzen E. J. Brouwer).- Chapter 22. Popper''s Correspondence with Rudolf Carnap (Karl R. Popper and Rudolf Carnap).- Chapter 23. Popper''s Correspondence with Alonzo Church (Karl R. Popper and Alonzo Church).- Chapter 24. Popper''s Correspondence with Kalman Joseph Cohen (Karl R. Popper and Kalman J. Cohen).- Chapter 25. Popper''s Correspondence with Henry George Forder (Karl R. Popper and Henry George Forder).- Chapter 26. Popper''s Correspondence with Harold Jeffreys (Karl R. Popper and Harold Jeffreys).- Chapter 27. Popper''s Correspondence with Stephen Cole Kleene (Karl R. Popper and Stephen C. Kleene).- Chapter 28. Popper''s Correspondence with William Calvert Kneale (Karl R. Popper and William C. Kneale).- Chapter 29. Popper''s Correspondence with Willard Van Orman Quine (Karl R. Popper and Willard V. O. Quine).- Chapter 30. Popper''s Correspondence with Heinrich Scholz (Karl R. Popper and Heinrich Scholz).- Chapter 31. Popper''s Correspondence with Peter Schroeder-Heister (Karl R. Popper and Peter Schroeder-Heister).- Concordances.- Bibliography.- Index.

DKK 434.00
1

Macroeconomic Modelling of R&D and Innovation Policies - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Macroeconomic Modelling of R&D and Innovation Policies - - Bog - Springer Nature Switzerland AG - Plusbog.dk

1. Introduction.- Part I. Macroeconomic Modelling of Innovation Policy: State-Of-The-Art.- 2. Innovation, Public Policy and Growth: What the Data Say.- 3. Innovation and Growth: Theory.- 4. The Frontier of Macroeconomic Modelling: Proceedings of the JRC-IEA Workshop 2017.- Part II. Impact Assessment of Innovation Policies: Models and Examples for the European Union.- 5. The RHOMOLO spatial CGE model.- 6. The QUEST III R&D Model.- 7. The NEMESIS macro-econometric model.- 8. Taking Stock.- 9 Other Innovation Policies and Alternative Modelling Approaches.- Part III. Conclusions.

DKK 349.00
1

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R - Joseph F. Hair Jr. - Bog - Springer Nature Switzerland AG - Plusbog.dk

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R - Joseph F. Hair Jr. - Bog - Springer Nature Switzerland AG - Plusbog.dk

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules ofthumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

DKK 434.00
1

Retirement Income Recipes in R - Moshe Arye Milevsky - Bog - Springer Nature Switzerland AG - Plusbog.dk

Retirement Income Recipes in R - Moshe Arye Milevsky - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book provides computational tools that readers can use to flourish in the retirement income industry. Each chapter describes recipe-like algorithms and explains how to implement them via simple scripts in the freely available R coding language. Students can use those skills to generate quantitative answers to the most common questions in retirement income planning, as well as to develop a deeper understanding of the finance and economics underlying the field itself. The book will be an excellent asset for experienced students who are interested in advanced wealth management, and specifically within courses that focus on holistic modeling of the retirement income process. The material will also be useful to current and future wealth management professionals within the financial services industry. Readers should have a solid understanding of financial principles, as well as a rudimentary background in economics and accounting.

DKK 551.00
1

Writing Resistance and the Question of Gender - Lara R. Curtis - Bog - Springer Nature Switzerland AG - Plusbog.dk

Writing Resistance and the Question of Gender - Lara R. Curtis - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book presents the first comparative study of the works of Charlotte Delbo, Noor Inayat Khan, and Germaine Tillion in relation to their vigorous struggles against Nazi aggression during World War II and the Holocaust. It illuminates ways in which their early lives conditioned both their political engagements during wartime and their extraordinary literary creations empowered by what Lara R. Curtis refers to as modes of ''writing resistance.'' With skillful recourse to a remarkable variety of genres, they offer compelling autobiographical reflections, vivid chronicles of wartime atrocities, eyewitness accounts of victims, and acute perspectives on the political implications of major events. Their sensitive reflections of gendered subjectivity authenticate the myriad voices and visions they capture. In sum, this book highlights the lives and works of three courageous women who were ceaselessly committed to a noble cause during the Holocaust and World War II.

DKK 646.00
1

Writing Resistance and the Question of Gender - Lara R. Curtis - Bog - Springer Nature Switzerland AG - Plusbog.dk

Writing Resistance and the Question of Gender - Lara R. Curtis - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book presents the first comparative study of the works of Charlotte Delbo, Noor Inayat Khan, and Germaine Tillion in relation to their vigorous struggles against Nazi aggression during World War II and the Holocaust. It illuminates ways in which their early lives conditioned both their political engagements during wartime and their extraordinary literary creations empowered by what Lara R. Curtis refers to as modes of ''writing resistance.'' With skillful recourse to a remarkable variety of genres, they offer compelling autobiographical reflections, vivid chronicles of wartime atrocities, eyewitness accounts of victims, and acute perspectives on the political implications of major events. Their sensitive reflections of gendered subjectivity authenticate the myriad voices and visions they capture. In sum, this book highlights the lives and works of three courageous women who were ceaselessly committed to a noble cause during the Holocaust and World War II.

DKK 476.00
1

Introduction to Probabilistic and Statistical Methods with Examples in R - Katarzyna Stapor - Bog - Springer Nature Switzerland AG - Plusbog.dk

Introduction to Probabilistic and Statistical Methods with Examples in R - Katarzyna Stapor - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book strikes a healthy balance between theory and applications, ensuring that it doesn''t offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.

DKK 689.00
1

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates - Jeffrey R. Wilson - Bog - Springer Nature Switzerland AG -

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates - Jeffrey R. Wilson - Bog - Springer Nature Switzerland AG -

This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health. ​

DKK 434.00
1

Application of Project Management Principles to the Management of Pharmaceutical R&D Projects - Thomas Catalano - Bog - Springer Nature Switzerland AG

Application of Project Management Principles to the Management of Pharmaceutical R&D Projects - Thomas Catalano - Bog - Springer Nature Switzerland AG

Dr. Catalano has for the last ten years been doing consulting for the Pharmaceutical Industry. During his consulting he discovered that small businesses such as, generic, startups, and virtual companies do not have the budget or the resources to apply the computer software utilized in project management and therefore do not apply project management principles in their business model. This reduces their effectiveness and increases their operating cost. Application of Project Management Principles to the Management of Pharmaceutical R&D Projects is presented as a paper-based system for completing all the critical activities needed apply the project management system. This will allow these small business to take advantage of the project management principles and gain all the advantages of the system. This book will be beneficial for beginners to understand the concepts of project management and for small pharmaceutical companies to apply the principles of project management to their business model.

DKK 519.00
1

Guide to Graph Colouring - R. M. R. Lewis - Bog - Springer Nature Switzerland AG - Plusbog.dk

Guide to Graph Colouring - R. M. R. Lewis - Bog - Springer Nature Switzerland AG - Plusbog.dk

This textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why. The introductory chapters explain graph colouring, complexity theory, bounds and constructive algorithms. The author then shows how advanced, graph colouring techniques can be applied to classic real-world operational research problems such as designing seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by an online suite of downloadable code. The book is of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.

DKK 476.00
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