The Great Regression

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The Great Regression

Heinrich Geiselberger
The Great Regression Book PDF

Author : Heinrich Geiselberger
Publisher : John Wiley & Sons
Page : 220 pages
File Size : 45,8 Mb
Release : 2017-05-11
Category : Political Science
ISBN : 9781509522392

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The Great Regression by Heinrich Geiselberger Pdf

We are living through a period of dramatic political change – Brexit, the election of Trump, the rise of extreme right movements in Europe and elsewhere, the resurgence of nationalism and xenophobia and a concerted assault on the liberal values and ideals associated with cosmopolitanism and globalization. Suddenly we find ourselves in a world that few would have imagined possible just a few years ago, a world that seems to many to be a move backwards. How can we make sense of these dramatic developments and how should we respond to them? Are we witnessing a worldwide rejection of liberal democracy and its replacement by some kind of populist authoritarianism? This timely volume brings together some of the world's greatest minds to analyse and seek to understand the forces behind this 'great regression'. Writers from across disciplines and countries, including Paul Mason, Pankaj Mishra, Slavoj Zizek, Zygmunt Bauman, Arjun Appadurai, Wolfgang Streeck and Eva Illouz, grapple with our current predicament, framing it in a broader historical context, discussing possible future trajectories and considering ways that we might combat this reactionary turn. The Great Regression is a key intervention that will be of great value to all those concerned about recent developments and wondering how best to respond to this unprecedented challenge to the very core of liberal democracy and internationalism across the world today. For more information, see: www.thegreatregression.eu

The SAGE Handbook of Regression Analysis and Causal Inference

Henning Best,Christof Wolf
The SAGE Handbook of Regression Analysis and Causal Inference Book PDF

Author : Henning Best,Christof Wolf
Publisher : SAGE
Page : 577 pages
File Size : 41,7 Mb
Release : 2013-12-20
Category : Social Science
ISBN : 9781473914384

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The SAGE Handbook of Regression Analysis and Causal Inference by Henning Best,Christof Wolf Pdf

′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman,Jennifer Hill
Data Analysis Using Regression and Multilevel Hierarchical Models Book PDF

Author : Andrew Gelman,Jennifer Hill
Publisher : Cambridge University Press
Page : 654 pages
File Size : 42,7 Mb
Release : 2007
Category : Mathematics
ISBN : 052168689X

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Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman,Jennifer Hill Pdf

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Understanding Regression Analysis

Larry D. Schroeder,David L. Sjoquist,Paula E. Stephan
Understanding Regression Analysis Book PDF

Author : Larry D. Schroeder,David L. Sjoquist,Paula E. Stephan
Publisher : SAGE
Page : 100 pages
File Size : 46,5 Mb
Release : 1986-04
Category : Social Science
ISBN : 0803927584

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Understanding Regression Analysis by Larry D. Schroeder,David L. Sjoquist,Paula E. Stephan Pdf

Providing beginners with a background to the frequently-used technique of linear regression, this text provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.

Linear Models with R

Julian J. Faraway
Linear Models with R Book PDF

Author : Julian J. Faraway
Publisher : CRC Press
Page : 284 pages
File Size : 54,8 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781439887349

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Linear Models with R by Julian J. Faraway Pdf

A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models

Multiple Regression and Beyond

Timothy Z. Keith
Multiple Regression and Beyond Book PDF

Author : Timothy Z. Keith
Publisher : Routledge
Page : 862 pages
File Size : 40,6 Mb
Release : 2019-01-14
Category : Education
ISBN : 9781351667920

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Multiple Regression and Beyond by Timothy Z. Keith Pdf

Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources

A Modern Approach to Regression with R

Simon Sheather
A Modern Approach to Regression with R Book PDF

Author : Simon Sheather
Publisher : Springer Science & Business Media
Page : 398 pages
File Size : 49,7 Mb
Release : 2009-02-27
Category : Mathematics
ISBN : 9780387096087

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A Modern Approach to Regression with R by Simon Sheather Pdf

This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.

The Manga Guide to Regression Analysis

Shin Takahashi,Iroha Inoue,Co Ltd Trend
The Manga Guide to Regression Analysis Book PDF

Author : Shin Takahashi,Iroha Inoue,Co Ltd Trend
Publisher : No Starch Press
Page : 232 pages
File Size : 55,9 Mb
Release : 2016-05-01
Category : Mathematics
ISBN : 9781593277529

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The Manga Guide to Regression Analysis by Shin Takahashi,Iroha Inoue,Co Ltd Trend Pdf

Like a lot of people, Miu has had trouble learning regression analysis. But with new motivation—in the form of a handsome but shy customer—and the help of her brilliant café coworker Risa, she’s determined to master it. Follow along with Miu and Risa in The Manga Guide to Regression Analysis as they calculate the effect of temperature on iced tea orders, predict bakery revenues, and work out the probability of cake sales with simple, multiple, and logistic regression analysis. You’ll get a refresher in basic concepts like matrix equations, inverse functions, logarithms, and differentiation before diving into the hard stuff. Learn how to: –Calculate the regression equation –Check the accuracy of your equation with the correlation coefficient –Perform hypothesis tests and analysis of variance, and calculate confidence intervals –Make predictions using odds ratios and prediction intervals –Verify the validity of your analysis with diagnostic checks –Perform chi-squared tests and F-tests to check the goodness of fit Whether you’re learning regression analysis for the first time or have just never managed to get your head around it, The Manga Guide to Regression Analysis makes mastering this tricky technique straightforward and fun.

Applied Regression Analysis for Business and Economics

Terry E. Dielman
Applied Regression Analysis for Business and Economics Book PDF

Author : Terry E. Dielman
Publisher : South Western Educational Publishing
Page : 600 pages
File Size : 44,7 Mb
Release : 1996
Category : Business & Economics
ISBN : UVA:X002762364

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Applied Regression Analysis for Business and Economics by Terry E. Dielman Pdf

Disk includes: Data sets for the exercises in the text, formatted in ASCII, MINITAB, SAS, Microsoft Excel, and STATA form and accessible to any statistical software package.

Regression Modeling Strategies

Frank E. Harrell
Regression Modeling Strategies Book PDF

Author : Frank E. Harrell
Publisher : Springer Science & Business Media
Page : 583 pages
File Size : 41,7 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475734621

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Regression Modeling Strategies by Frank E. Harrell Pdf

Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".

Applied Survival Analysis

David W. Hosmer, Jr.,Stanley Lemeshow,Susanne May
Applied Survival Analysis Book PDF

Author : David W. Hosmer, Jr.,Stanley Lemeshow,Susanne May
Publisher : John Wiley & Sons
Page : 285 pages
File Size : 41,5 Mb
Release : 2011-09-23
Category : Mathematics
ISBN : 9781118211588

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Applied Survival Analysis by David W. Hosmer, Jr.,Stanley Lemeshow,Susanne May Pdf

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.

An R Companion to Applied Regression

John Fox,Sanford Weisberg
An R Companion to Applied Regression Book PDF

Author : John Fox,Sanford Weisberg
Publisher : SAGE Publications
Page : 505 pages
File Size : 47,6 Mb
Release : 2018-09-27
Category : Social Science
ISBN : 9781544336459

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An R Companion to Applied Regression by John Fox,Sanford Weisberg Pdf

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition has been reorganized and includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text. "An R Companion to Applied Regression continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R." –Christopher Hare, University of California, Davis

Regression Models as a Tool in Medical Research

Werner Vach
Regression Models as a Tool in Medical Research Book PDF

Author : Werner Vach
Publisher : CRC Press
Page : 497 pages
File Size : 53,8 Mb
Release : 2012-11-27
Category : Mathematics
ISBN : 9781466517486

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Regression Models as a Tool in Medical Research by Werner Vach Pdf

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression models most commonly used in medical research, including the classical regression model for continuous outcomes, the logistic regression model for binary outcomes, and the Cox proportional hazards model for survival data. The text emphasizes adequate use, correct interpretation of results, appropriate presentation of results, and avoidance of potential pitfalls. After reviewing popular models and basic methods, the book focuses on advanced topics and techniques. It considers the comparison of regression coefficients, the selection of covariates, the modeling of nonlinear and nonadditive effects, and the analysis of clustered and longitudinal data, highlighting the impact of selection mechanisms, measurement error, and incomplete covariate data. The text then covers the use of regression models to construct risk scores and predictors. It also gives an overview of more specific regression models and their applications as well as alternatives to regression modeling. The mathematical details underlying the estimation and inference techniques are provided in the appendices.

Regression and Other Stories

Andrew Gelman,Jennifer Hill,Aki Vehtari
Regression and Other Stories Book PDF

Author : Andrew Gelman,Jennifer Hill,Aki Vehtari
Publisher : Cambridge University Press
Page : 551 pages
File Size : 45,7 Mb
Release : 2020-07-23
Category : Business & Economics
ISBN : 9781107023987

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Regression and Other Stories by Andrew Gelman,Jennifer Hill,Aki Vehtari Pdf

A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

The Great Reversal

Thomas Philippon
The Great Reversal Book PDF

Author : Thomas Philippon
Publisher : Belknap Press
Page : 361 pages
File Size : 42,8 Mb
Release : 2019
Category : Business & Economics
ISBN : 9780674237544

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The Great Reversal by Thomas Philippon Pdf

American markets, once a model for the world, are giving up on competition. Thomas Philippon blames the unchecked efforts of corporate lobbyists. Instead of earning profits by investing and innovating, powerful firms use political pressure to secure their advantages. The result is less efficient markets, leading to higher prices and lower wages.