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Regression for Categorical Data

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Regression for Categorical Data

Regression for Categorical Data

Gerhard Tutz

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カテゴリー:

年:

2012

出版社:

Cambridge University Press

言語:

english

ページ:

551

ISBN 10:

1107009650

ISBN 13:

9781107009653

ファイル:

PDF, 5.32 MB

IPFS:

,

english, 2012

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Agresti & Alan — An Introduction to Categorical Data Analysis

Jon Wakefield — Bayesian and Frequentist Regression Methods

German Rodriguez — Generalized Linear Models

C.R. Rao, Helge Toutenburg, Andreas Fieger, Christian Heumann, Thomas Nittner, Sandro Scheid — Linear Models and Generalizations

Agresti, Alan — Categorical Data Analysis (Wiley Series in Probability and Statistics)

Alan Agresti — Categorical Data Analysis

Cramer J.S. — Logit models from economics and other fields

J. S. Cramer — Logit Models from Economics and other Fields

J. S. Cramer — Logit Models from Economics and Other Fields

Gerhard Tutz, Ludwig-Maximilians-Universität Munchen — Regression for Categorical Data

Edited by Edward W. Frees, Richard A. Derrig, Glenn Meyers — Predictive Modeling Applications in Actuarial Science: Volume 1

Michael D. Ward; John S. Ahlquist — Maximum Likelihood for Social Science: Strategies for Analysis

Alan Agresti — An Introduction to Categorical Data Analysis, Third Edition

Alan Agresti — An Introduction to Categorical Data Analysis, Third Edition

Olga Korosteleva — Advanced Regression Models with SAS and R

Hilbe, Joseph M — Logistic regression models

Unknown — Bayesian And Frequentist Regression

Ludwig Fahrmeir, Gerhard Tutz (auth.) — Multivariate Statistical Modelling Based on Generalized Linear Models

Michael Smithson, Edgar C. Merkle — Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Ludwig Fahrmeir, Gerhard Tutz (auth.) — Multivariate Statistical Modelling Based on Generalized Linear Models

Professor C. Radhakrishna Rao, Dr. Shalabh, Professor Helge Toutenburg, Dr. Christian Heumann (auth.) — Linear Models and Generalizations: Least Squares and Alternatives

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang, Brian D. Marx — Regression- Models, Methods and Applications 2nd

— REGRESSION models, methods and applications.

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