Primer of Applied Regression & Analysis of Variance

November 15, 2000|
Primer  of Applied Regression & Analysis of Variance by Stanton A. Glantz
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Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).
Why Do Multivariate Analysis?. The First Step: Understanding Simple Linear Regression. Regression With Two or More Independent Variables. Do the Data Fit the Assumptions?. Multicollinearity and What to Do About It. Selecting the "Best" Regression Model. One-Way Analysis of Variance. Two-Way Analysis of Variance. Rep...
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Title:Primer of Applied Regression & Analysis of Variance
Format:Hardcover
Product dimensions:949 pages, 9.7 X 7.9 X 1.7 in
Shipping dimensions:949 pages, 9.7 X 7.9 X 1.7 in
Published:November 15, 2000
Publisher:McGraw-Hill Education
Language:English
Appropriate for ages:All ages
ISBN - 13:9780071360869

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