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Primer  of Applied Regression & Analysis of Variance

Primer of Applied Regression & Analysis of Variance

9780071360869
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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 with clear and entertaining writing style demystifies a very dry, difficult subject study problems at the end of each chapter and examples culled from biomedical research illustrate key points

Product Details
44846
9780071360869
9780071360869

Data sheet

Publication date
2000
Issue number
2
Cover
hard cover
Pages count
949
Dimensions (mm)
185 x 236
Weight (g)
1884
  • 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.

    Repeated Measures.

    Mixing Continuous and Categorical Variables: Analysis of Covariance.

    Nonlinear Regression.

    Regression With a Qualitative Dependent Variable.

    APPENDIX A. A Brief Introduction to Matrices and Vectors.

    APPENDIX B. Statistical Package Cookbook.

    APPENDIX C. Data for Examples.

    APPENDIX D. Data for Problems.

    APPENDIX E. Statistical Tables.

    APPENDIX F. Solutions to Problems.

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