This set contains: 9780471221753 Logistic Regression Using the SAS System: Theory and Application by Paul D. Allison and 9780471746966 Regression Analysis by Example, Fourth Edition by Samprit Chatterjee, Ali S. Hadi.

Logistic Regression Using the SAS System: Theory and Application + Regression Analysis by Example

Science & Math

Chatterjee, Samprit

Allison, Paul D.

Hadi, Ali S.

Mathematics

Wiley-Interscience

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or “refresher” on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples. References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website. "I enjoyed the presentation of the Handbook, and I would be happy to recommend this nice handy book as a reference to my students. The clarity of the writing and proper choices of examples allows the presentations ofmany statisticalmethods shine. The quality of the examples at the end of each chapter is a strength. They entail explanations of the resulting R outputs and successfully guide readers to interpret them." American Statistician

Handbook of Regression Analysis

Simonoff, Jeffrey S.

wiley

Bridges the gap between theory and practice of regression analysis, providing a balance between theoretical results, empirical rules, and the analyst's subjective judgment. Describes methods by using realistic examples that emphasize the analysis of data and that contain irregularities similar to those encountered in practice. Demonstrates concepts by utilizing standard—and some not so standard—summary statistics on the basis of their intuitive appeal.

Regression Analysis by Example (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

Price, Bertram

Designed to engage students in the ``how'' and ``why'' of the data analyzing process rather than merely the ``what.'' Uses actual examples of analyses of real data. Each case is motivated by a question which needs to be answered and is presented with complete background material. The statistical analysis flows naturally from the question, encouraging students to understand the methods in order to reach a meaningful conclusion.

Casebook First Course in Stat +1 D3 WSE

Computers & Technology

John Wiley&Sons

Designed to engage students in the "how" and "why" of the data analyzing process rather than merely the "what." Uses actual examples of analyses of real data. Each case is motivated by a question which needs to be answered and is presented with complete background material. The statistical analysis flows naturally from the question, encouraging students to understand the methods in order to reach a meaningful conclusion.

A Casebook for a First Course in Statistics and Data Analysis and Minitab Mini-Manual: A Beginner's Guide to Minitab Statistical Software Second Edition

Handcock, Mark S.

Operating Systems

Regression analysis provides a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Third Edition explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory. This is not just another edition of the book; it is a major rewriting and reorganization of the previous edition. The new edition is expanded and updated to reflect recent advances in the field, offering in-depth treatment of diagnostic plots, time series regression, multicollinearity, and logistic regression. Suitable for anyone with an understanding of elementary statistics, Regression Analysis by Example, Third Edition illustrates methods of regression analysis, with examples containing the types of irregularities commonly encountered in the real world. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. Each of the methods described can be carried out with most currently available statistical software packages.

Regression Analysis by Example, 3rd Edition

The essentials of regression analysis through practical applications Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. This new edition features the following enhancements: 
<ul>
<li>Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysis 
</li> <li>A new chapter entitled Further Topics discusses advanced areas of regression analysis 
</li> <li>Reorganized, expanded, and upgraded exercises appear at the end of each chapter 
</li> <li>A fully integrated Web page provides data sets 
</li> <li>Numerous graphical displays highlight the significance of visual appeal Regression Analysis by Example, Fourth Edition is suitable for anyone with an understanding of elementary statistics. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.</li> </ul>

Regression Analysis by Example

Treats linear regression diagnostics as a tool for application of linear regression models to real-life data. Presentation makes extensive use of examples to illustrate theory. Assesses the effect of measurement errors on the estimated coefficients, which is not accounted for in a standard least squares estimate but is important where regression coefficients are used to apportion effects due to different variables. Also assesses qualitatively and numerically the robustness of the regression fit.

Sensitivity Analysis in Linear Regression

A variety of ideas and methods of regression analysis are explored with the aid of realistic examples that highlight the analysis of data and include irregularities similar to those encountered in practice. Recent advances in regression diagnostics are covered with emphasis on plots such as component plus residual, added variable, sequence, along with index plots for leverage and function. The authors utilize standard and some not so standard summary statistics on the basis of their intuitive appeal to demonstrate concepts. The majority of analyses described are available in software packages on the market today.

Regression Analysis by Example, 2nd Edition

Praise for the Fourth Edition: "This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable." --Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: <ul> <li>Surrogate ridge regression</li> <li>Fitting nonlinear models</li> <li>Errors in variables</li> <li>ANOVA for designed experiments</li> </ul> Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.

See the best price to sell, buy, or rent books by Chatterjee, Samprit. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Chatterjee, Samprit

See the best price to sell, buy, or rent books by Chatterjee, Samprit. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Logistic Regression Using the SAS System: Theory and Application + Regression Analysis by Example

Handbook of Regression Analysis

Regression Analysis by Example (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

Casebook First Course in Stat +1 D3 WSE

A Casebook for a First Course in Statistics and Data Analysis and Minitab Mini-Manual: A Beginner's Guide to Minitab Statistical Software Second Edition

Regression Analysis by Example, 3rd Edition

Regression Analysis by Example

Sensitivity Analysis in Linear Regression

Regression Analysis by Example, 2nd Edition

Regression Analysis by Example