Generalized Linear Models - Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining

Generalized Linear Models

With Applications in Engineering and the Sciences
Buch | Hardcover
364 Seiten
2001
John Wiley & Sons Inc (Verlag)
978-0-471-35573-1 (ISBN)
122,52 inkl. MwSt
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Serves as an introductory text on Generalized Linear Models (GLMs). This book covers a range of theoretical topics and applications. It is intended for practicing professionals in a variety of fields and students in regression courses.
Includes thorough treatment of logistic and Poisson regression. Introduction to generalized estimating questions. Numerous examples in fields ranging from biology and biopharmaceuticals to engineering and quality assurance. Provides guidance in using widely available software to illustrate all aspects of model-fitting, inference, and diagnostic testing.

RAYMOND H. MYERS is Professor Emeritus in the Department of Statistics at Virginia Tech in Blacksburg, Virginia. DOUGLAS C. MONTGOMERY is Professor in the Department of Industrial Engineering at Arizona State University in Tempe, Arizona. G. GEOFFREY VINING is Professor and Head of the Department of Statistics at Virginia Tech in Blacksburg, Virginia.

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.

Erscheint lt. Verlag 21.12.2001
Reihe/Serie Wiley Series in Probability and Statistics
Zusatzinfo references
Verlagsort New York
Sprache englisch
Maße 163 x 241 mm
Gewicht 640 g
Einbandart gebunden
Themenwelt Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-471-35573-9 / 0471355739
ISBN-13 978-0-471-35573-1 / 9780471355731
Zustand Neuware
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