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Multivariate Statistical Modelling Based on Generalized Linear Models
Langbeschreibung
The book is aimed at applied statisticians, graduate students of statistics, and students and researchers with a strong interest in statistics and data analysis. This second edition is extensively revised, especially those sections relating with Bayesian concepts.
Inhaltsverzeichnis
1. Introduction.- 2. Modelling and Analysis of Cross-Sectional Data: A Review of Univariate Generalized Linear Models.- 3. Models for Multicategorical Responses: Multivariate Extensions of Generalized Linear Models.- 4. Selecting and Checking Models.- 5. Semi- and Nonparametric Approaches to Regression Analysis.- 6. Fixed Parameter Models for Time Series and Longitudinal Data.- 7. Random Effects Models.- 8. State Space and Hidden Markov Models.- 9. Survival Models.- A..- A.1 Exponential Families and Generalized Linear Models.- A.2 Basic Ideas for Asymptotics.- A.3 EM Algorithm.- A.4 Numerical Integration.- A.5 Monte Carlo Methods.- B. Software for Fitting Generalized Linear Models and Extensions.- Author Index.
ISBN-13:
9781475734546
Veröffentl:
2013
Seiten:
518
Autor:
Ludwig Fahrmeir
Serie:
Springer Series in Statistics
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
255,73 €*
Lieferzeit: Sofort lieferbar
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