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Multivariate Statistical Modelling Based on Generalized Linear Models /

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The book is aimed at applied statisticians, graduate students of statistics, and students and researchers with a strong interest in statistics and data analysis. The second edition is extensively revised, especially in sections relating to Bayesian concepts.

Bibliographic Details
Main Author: Fahrmeir, L.
Corporate Author: SpringerLink (Online service)
Other Authors: Tutz, Gerhard
Format: eBook
Language:English
Published: New York, NY : Springer New York, 2001.
Edition:Second edition.
Series:Springer series in statistics.
Subjects:
Statistics.
Mathematical statistics.
Economics > Statistics.
Economics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Modelling and Analysis of Cross-sectional Data: A Review of Univariate Generalized Linear Models
  • Models for Multicategorical Responses: Multivariate Extensions of Generalized Linear Models
  • Selecting and Checking Models
  • Semi- and Nonparametric Approaches to Regression Analysis
  • Fixed Parameter Models for Time Series and Longitual Data
  • Random Effects Models
  • State Space and Hidden Markov Models
  • Survival Models.