Applied regression analysis and other multivariable methods
Publisher: Cengage Learning
Published: August 30, 2013
Place of publication: Boston USA
Language: eng
Format: Hardcover
Number of pages: 1051
ISBN-13: 9781285051086
Description: This bestseller helps to learn regression-analysis methods that one can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that one can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques.
Table of contents: title: Concepts and examples of research -- Classification of variables and the choice of analysis -- Basic statistics : a review -- Introduction to regression analysis -- Straight-line regression analysis -- Correlation coefficient and straight-line regression analysis -- Analysis-of-variance table -- Multiple regression analysis : general considerations -- Statistical inference in multiple regression -- Correlations : multiple, partial, and multiple partial -- Confounding and interaction in regression -- Dummy variables in regression -- Analysis of covariance and other methods for adjusting continuous data -- Regression diagnostics -- Polynomial regression -- Selecting the best regression equation -- One-way analysis of variance -- Randomized blocks : special case of two-way ANOVA -- Two-way ANOVA with equal cell numbers -- Two-way ANOVA with unequal cell numbers -- Method of maximum likelihood -- Logistic regression analysis -- Polytomous and ordinal logistic regression -- Poisson regression analysis -- Analysis of correlated data part 1 : the general linear mixed method -- Analysis of correlated data part 2 : random effects and other issues -- Sample size planning for linear and logisitc regression and analysis of variance -- Appendix A. Tables -- Appendix B. Matrices and their relationship to regression analysis -- Appendix C. SAS computer appendix -- Appendix D. Answers to selected problems.