Regression Analysis by Example

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Release : 2015-02-25
Genre : Mathematics
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Book Rating : 732/5 ( reviews)

Regression Analysis by Example - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Analysis by Example write by Samprit Chatterjee. This book was released on 2015-02-25. Regression Analysis by Example available in PDF, EPUB and Kindle. 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: Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments 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.

Regression Analysis by Example

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Release : 2006-10-20
Genre : Mathematics
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Book Rating : 456/5 ( reviews)

Regression Analysis by Example - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Analysis by Example write by Samprit Chatterjee. This book was released on 2006-10-20. Regression Analysis by Example available in PDF, EPUB and Kindle. 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: Chapter 12, Logistic Regression, is expanded to reflect the increased use of the logit models in statistical analysis A new chapter entitled Further Topics discusses advanced areas of regression analysis Reorganized, expanded, and upgraded exercises appear at the end of each chapter A fully integrated Web page provides data sets 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.

Regression Analysis and Linear Models

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Release : 2016-08-22
Genre : Social Science
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Book Rating : 981/5 ( reviews)

Regression Analysis and Linear Models - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Analysis and Linear Models write by Richard B. Darlington. This book was released on 2016-08-22. Regression Analysis and Linear Models available in PDF, EPUB and Kindle. Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Linear Regression Analysis

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Release : 2009
Genre : Mathematics
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Book Rating : 109/5 ( reviews)

Linear Regression Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Linear Regression Analysis write by Xin Yan. This book was released on 2009. Linear Regression Analysis available in PDF, EPUB and Kindle. "This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the techniques described in the book. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject area." --Book Jacket.

Regression and Other Stories

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Release : 2020-07-23
Genre : Business & Economics
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Book Rating : 98X/5 ( reviews)

Regression and Other Stories - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression and Other Stories write by Andrew Gelman. This book was released on 2020-07-23. Regression and Other Stories available in PDF, EPUB and Kindle. A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.