Analysis of Variance, Design, and Regression

Analysis of Variance, Design, and Regression
Author :
Publisher : CRC Press
Total Pages : 608
Release :
ISBN-10 : 0412062917
ISBN-13 : 9780412062919
Rating : 4/5 (919 Downloads)

Book Synopsis Analysis of Variance, Design, and Regression by : Ronald Christensen

Download or read book Analysis of Variance, Design, and Regression written by Ronald Christensen and published by CRC Press. This book was released on 1996-06-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.


Analysis of Variance, Design, and Regression Related Books

Analysis of Variance, Design, and Regression
Language: en
Pages: 608
Authors: Ronald Christensen
Categories: Mathematics
Type: BOOK - Published: 1996-06-01 - Publisher: CRC Press

GET EBOOK

This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but als
Analysis of Variance, Design, and Regression
Language: en
Pages: 645
Authors: Ronald Christensen
Categories: Mathematics
Type: BOOK - Published: 2018-09-03 - Publisher: CRC Press

GET EBOOK

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis
Data Analysis for Research Designs
Language: en
Pages: 628
Authors: Geoffrey Keppel
Categories: Mathematics
Type: BOOK - Published: 1989-03-15 - Publisher: Macmillan

GET EBOOK

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing
Analysis of Variance Designs
Language: en
Pages: 596
Authors: Glenn Gamst
Categories: Analysis of variance
Type: BOOK - Published: 2008 - Publisher:

GET EBOOK

This textbook explains ANOVA designs for advanced undergraduates and graduate students in the behavioural sciences.
Experimental Design and the Analysis of Variance
Language: en
Pages: 209
Authors: Robert K. Leik
Categories: Social Science
Type: BOOK - Published: 1997-04-19 - Publisher: SAGE Publications

GET EBOOK

Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance and regression, but not in