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Primer of Applied Regression & Analysis of Variance

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  • 949 pages
  • 34 hours of reading

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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).

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Primer of Applied Regression & Analysis of Variance, Stanton A. Glantz, Bryan Slinker

Language
Released
2000
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(Hardcover)
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Title
Primer of Applied Regression & Analysis of Variance
Language
English
Released
2000
Format
Hardcover
Pages
949
ISBN10
0071360867
ISBN13
9780071360869
Series
Description
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).