Regression Analysis By Example

Author: Samprit Chatterjee
Publisher: Wiley
ISBN: 0470905840
Size: 59.61 MB
Format: PDF
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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

Author: Samprit Chatterjee
Publisher: Wiley-Interscience
ISBN: 0471746967
Size: 79.30 MB
Format: PDF, Docs
View: 4963
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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.

A Second Course In Statistics Regression Analysis 7th Edition

Author: William Mendenhall
Publisher: Pearson
ISBN: 0321691695
Size: 10.16 MB
Format: PDF, Docs
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A Second Course in Statistics: Regression Analysis, Seventh Edition, focuses on building linear statistical models and developing skills for implementing regression analysis in real situations. This text offers applications for engineering, sociology, psychology, science, and business. The authors use real data and scenarios extracted from news articles, journals, and actual consulting problems to show how to apply the concepts. In addition, seven case studies, now located throughout the text after applicable chapters, invite readers to focus on specific problems.


Statistical Analysis And Data Display An Intermediate Course With Examples In S Plus R And Sas Springer Texts In Statistics

Author: Richard M. Heiberger
Publisher: Springer
ISBN: 0387402705
Size: 73.53 MB
Format: PDF, Docs
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This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data―showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.


Ibm Spss By Example A Practical Guide To Statistical Data Analysis

Author: Alan C. Elliott
Publisher: SAGE Publications, Inc
ISBN: 1483319032
Size: 63.57 MB
Format: PDF, ePub, Mobi
View: 7422
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The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information―from assumptions and design to computation, interpretation, and presentation of results―to help users save time, money, and frustration.


Multiple Regression In Behavioral Research

Author: Elazar J. Pedhazur
Publisher: Wadsworth
ISBN: 0030728312
Size: 45.56 MB
Format: PDF, Mobi
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Multiple Regression in Behavioral Research adopts a data-analysis approach to multiple regression. Pedhazur integrates design and analysis, and emphasizes learning by example and critiques of published research. Features: * Pedhazur places strong emphasis on the application of regression analysis to various research problems. He discusses major research studies and journal articles in conjunction with specific methods presented. This emphasis gives students a critical appreciation of how methods are used and abused in various research areas. * Chapters 11-15 discuss various coding methods for categorical variables. This detailed explanation teaches students the properties of different coding methods and their suitability for specific tasks. * Multiple Regression introduces path analysis and structural equation models, including indices of fit and decomposition of effects. This information, in Part 3, exposes students to recent developments in the field. New to this edition: * Pedhazur demonstrates applications of all analytic approaches with detailed analyses of simple numerical examples. He uses the most recent versions of BMDP, MINITAB, SAS, and SPSS, provides examples of the computer outputs, and comments on them in detail. * The latest versions of EQS and LISREL programs for the structural equation modeling are also introduced and used for analyzing causal models with single indicators (path analysis) and multiple indicators or unobserved variables. * New chapters include Chapter 3, Regression Diagnostics, Chapter 16, Elements of Multilevel Analysis and Chapter 17, Categorical Dependent Variable: Logistic Regression.

R And Data Mining Examples And Case Studies

Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 0123969638
Size: 29.61 MB
Format: PDF, ePub, Docs
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This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It
  • Presents an introduction into using R for data mining applications, covering most popular data mining techniques
  • Provides code examples and data so that readers can easily learn the techniques
  • Features case studies in real-world applications to help readers apply the techniques in their work and studies
The R code and data for the book are provided at the RDataMining.com website.

The book  helps researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For the many universities that have courses on data mining, this book is an invaluable reference for students studying data mining and its related subjects. In addition, it is a useful resource for anyone involved in industrial training courses on data mining and analytics. The concepts in this book help readers as R becomes increasingly popular for data mining applications.

Categorical Data Modeling By Example Hands On Approach Using R Statistics By Example

Author: Faye Anderson
Publisher: CreateSpace Independent Publishing Platform
ISBN: 1540786137
Size: 79.25 MB
Format: PDF, Kindle
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This is an applied handbook on analyzing and modeling categorical data using R. Every topic is explained using examples. It is intended for any research project that entails the use of categorical data. Although the examples are presented in R, their results and interpretations are applicable to any other software. The examples cover exploratory data analysis, contingency tables, hypothesis testing, ordinal data, logistic regression, multinomial logistic regression, ordinal logistic regression, poisson regression, and generalized models.

Regression Analysis By Example

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 1119122732
Size: 56.45 MB
Format: PDF, ePub, Docs
View: 3346
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Praise for the Fourth Edition: "This book is . . . an excellent source of examples for regression analysis.

Regression Analysis By Example

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 0470055456
Size: 78.16 MB
Format: PDF, Docs
View: 592
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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 ...

Handbook Of Regression Analysis

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 111853283X
Size: 64.78 MB
Format: PDF, Mobi
View: 7496
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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.

Introduction To Linear Regression Analysis

Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
ISBN: 1118627369
Size: 62.22 MB
Format: PDF, ePub, Mobi
View: 4305
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Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of ...

Sensitivity Analysis In Linear Regression

Author: Samprit Chatterjee
Publisher: John Wiley & Sons
ISBN: 9780471822165
Size: 55.73 MB
Format: PDF, ePub, Docs
View: 2697
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Prediction matrix; Role of variables in a regression equation; Effects of an observation on a regression equation; Assessing the effects of multiple observations; Joint impact of a variable and an observation; Assessing the effects of ...

Learning Regression Analysis By Simulation

Author: Kunio Takezawa
Publisher: Springer Science & Business Media
ISBN: 443154321X
Size: 62.55 MB
Format: PDF, Kindle
View: 6767
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Conventional books on this topic frighten readers by presenting unidentified data to them indiscriminately. This book provides a new path to statistical concepts and practical skills in a readily accessible manner.

Applied Regression Analysis

Author: Norman R. Draper
Publisher: John Wiley & Sons
ISBN: 1118625684
Size: 73.68 MB
Format: PDF, Kindle
View: 970
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This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis.

Understanding Regression Analysis

Author: Larry D. Schroeder
Publisher: SAGE
ISBN: 9780803927582
Size: 18.86 MB
Format: PDF, ePub, Docs
View: 7287
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The authors have provided beginners with a background to the frequently-used technique of linear regression.

Regression Analysis And Its Application

Author: Richard F. Gunst
Publisher: CRC Press
ISBN: 9780824769932
Size: 22.48 MB
Format: PDF, Mobi
View: 4028
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Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application.

Regression Analysis And Linear Models

Author: Richard B. Darlington
Publisher: Guilford Publications
ISBN: 1462527981
Size: 22.60 MB
Format: PDF, Docs
View: 3204
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Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences.