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 Generalized Linear Models: With Applications in Engineering and the Sciences
ISBN: 978-0-471-35573-1
Hardcover
364 pages
November 2001
US $140.00
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Preface.
1. Introduction to Generalized Linear Models.
2. Linear Regression Models.
3. Nonlinear Regression Models.
4. Logistic and Poisson Regression Models.
5. The Family of Generalized Linear Models.
6. Generalized Estimating Equations.
7. Further Advances and Applications in GLM.
Appendix 1: Background on Basic Test Statistics.
Appendix 2: Background from the Theory of Linear Models.
Appendix 3: The Gauss-Markov Theroem.
Appendix 4: The Relationship Between Maximum Likelihood Estimation of the Logistic Regression Model and Weighted Least Squares.
Appendix 5: Computational Details for GLMs for a Canonical Link.
Appendix 6: Computational Details for GLMs for a Noncanonical Link.
References.
Index.
1. Introduction to Generalized Linear Models.
2. Linear Regression Models.
3. Nonlinear Regression Models.
4. Logistic and Poisson Regression Models.
5. The Family of Generalized Linear Models.
6. Generalized Estimating Equations.
7. Further Advances and Applications in GLM.
Appendix 1: Background on Basic Test Statistics.
Appendix 2: Background from the Theory of Linear Models.
Appendix 3: The Gauss-Markov Theroem.
Appendix 4: The Relationship Between Maximum Likelihood Estimation of the Logistic Regression Model and Weighted Least Squares.
Appendix 5: Computational Details for GLMs for a Canonical Link.
Appendix 6: Computational Details for GLMs for a Noncanonical Link.
References.
Index.
