Applying Generalized Linear Models (Springer Texts in Statistics)

Applying Generalized Linear Models (Springer Texts in Statistics)

Editorial Reviews
Hangfeng Chen, Technometrics, May 1998
...one of the best applied statistical books that I have ever read.

Book Description
Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical modelling in many different fields, without becoming lost in problems of statistical inference. Many students, even in relatively advanced statistics courses, do not have an overview whereby they can see that the three areas - linear normal, categorical, and survival models - have much in common. The author shows the unity of many of the commonly used models and provides the reader with a taste of many different areas, such as survival models, time series, and spatial analysis. This book should appeal to applied statisticians and to scientists with a basic grounding in modern statistics. With the many exercises included at the ends of chapters, it will be an excellent text for teaching the fundamental uses of statistical modelling. The reader is assumed to have knowledge of basic statistical principles, whether from a Bayesian, frequentist, or direct likelihood point of view, and should be familiar at least with the analysis of the simpler normal linear models, regression and ANOVA. The author is professor in the biostatistics department at Limburgs University, Diepenbeek, in the social science department at the University of Liège, and in medical statistics at DeMontfort University, Leicester. He is the author of nine other books.

Applying Generalized Linear Models (Springer Texts in Statistics)

Applying Generalized Linear Models (Springer Texts in Statistics),James K. Lindsey,Springer,0387982183,Linear models (Statistics),Mathematical Statistics,Mathematics,Probability & Statistics - General,Science/Mathematics,Generalized Linear Models,Linear algebra,Mathematical modelling,Mathematics / Statistics,Probability & statistics,Statistical Modelling,Statistics,Biostatistics

Books Info:

1. A Treatise on the Theory of Screws (Cambridge Mathematical Library)
2. Boundary Value Problems for Elliptic Systems
3. Übungsaufgaben zur Mathematik für Ingenieure : Mit durchgerechneten und erklärten Lösungen (Springer-Lehrbuch)
4. Classical and Fuzzy Concepts in Mathematical Logic and Applications, Professional Version
5. Comparison Methods and Stability Theory (Lecture Notes in Pure and Applied Mathematics)
6. Complex Convexity and Analytic Functionals (Progress in Mathematics)
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8. Complex Harmonic Splines, Periodic Quasi-Wavelets - Theory and Applications
9. Complexity, Logic, and Recursion Theory (Lecture Notes in Pure and Applied Mathematics)
10. Computational Methods in Commutative Algebra and Algebraic Geometry

Books Info

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