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عنوان
Log-Linear Models and Logistic Regression

پدید آورنده
by Ronald Christensen.

موضوع
Algebra.,Algebra.,Applied mathematics.,Engineering mathematics.,Mathematics.,Mathematics.,Probabilities.,Applications of Mathematics.,Probability Theory and Stochastic Processes.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9780387226248

NATIONAL BIBLIOGRAPHY NUMBER

Number
b397325

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Log-Linear Models and Logistic Regression
General Material Designation
[Book]
First Statement of Responsibility
by Ronald Christensen.

EDITION STATEMENT

Edition Statement
Second Edition.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
XVI, 484 p. :
Other Physical Details
online resource.

SERIES

Series Title
Springer Texts in Statistics,
ISSN of Series
1431-875X

CONTENTS NOTE

Text of Note
Two-Dimensional Tables and Simple Logistic Regression -- Three-Dimensional Tables -- Logistic Regression, Logit Models, and Logistic Discrimination -- Independence Relationships and Graphical Models -- Model Selection Methods and Model Evaluation -- Models for Factors with Quantitative Levels -- Fixed and Random Zeros -- Generalized Linear Models -- The Matrix Approach to Log-Linear Models -- The Matrix Approach to Logit Models -- Maximum Likelihood Theory for Log-Linear Models -- Bayesian Binomial Regression.
0

SUMMARY OR ABSTRACT

Text of Note
As the new title indicates, this second edition of Log-Linear Models has been modi?ed to place greater emphasis on logistic regression. In addition to new material, the book has been radically rearranged. The fundamental material is contained in Chapters 1-4. Intermediate topics are presented in Chapters 5 through 8. Generalized linear models are presented in Ch- ter 9. The matrix approach to log-linear models and logistic regression is presented in Chapters 10-12, with Chapters 10 and 11 at the applied Ph.D. level and Chapter 12 doing theory at the Ph.D. level. The largest single addition to the book is Chapter 13 on Bayesian bi- mial regression. This chapter includes not only logistic regression but also probit and complementary log-log regression. With the simplicity of the Bayesian approach and the ability to do (almost) exact small sample s- tistical inference, I personally ?nd it hard to justify doing traditional large sample inferences. (Another possibility is to do exact conditional inference, but that is another story.) Naturally,Ihavecleaneduptheminor?awsinthetextthatIhavefound. All examples, theorems, proofs, lemmas, etc. are numbered consecutively within each section with no distinctions between them, thus Example 2.3.1 willcomebeforeProposition2.3.2.Exercisesthatdonotappearinasection at the end have a separate numbering scheme. Within the section in which it appears, an equation is numbered with a single value, e.g., equation (1).

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9780387982472

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Algebra.
Algebra.
Applied mathematics.
Engineering mathematics.
Mathematics.
Mathematics.
Probabilities.
Applications of Mathematics.
Probability Theory and Stochastic Processes.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Christensen, Ronald

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20160428095000.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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