Log-Linear Models And Logistic Regression Book

Log-Linear Models And Logistic Regression, The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds , Log-Linear Models And Logistic Regression

3 out of 5 stars based on 2 reviews

Log-Linear Models And Logistic Regression
Written by author Ronald Christensen
Published by Springer-Verlag New York, LLC, September 1997
The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds
This book examines statistical models for frequency data. The primary focus is on log-linear models for contingency tables,but in this second edition,greater emphasis has been placed on logistic regression. Topics such as logistic discrimination and gener

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Preface to the Second Edition
Preface to the First Edition
1 Introduction 1
2 Two-Dimensional Tables and Simple Logistic Regression 23
3 Three-Dimensional Tables 69
4 Logistic Regression, Logit Models, and Logistic Discrimination 116
5 Independence Relationships and Graphical Models 178
6 Model Selection Methods and Model Evaluation 211
7 Models for Factors with Quantitative Levels 258
8 Fixed and Random Zeros 279
9 Generalized Linear Models 297
10 The Matrix Approach to Log-Linear Models 314
11 The Matrix Approach to Logit Models 363
12 Maximum Likelihood Theory for Log-Linear Models 396
13 Bayesian Binomial Regression 422
App.: Tables 455
References 458
Author Index 475
Subject Index 479

Title: Log-Linear Models And Logistic Regression

Manufacturer:

Steidl Publishing

Item Number: 9780387982472

Publication Date: September 1997

Number: 2

Product Description: Log-Linear Models And Logistic Regression

Universal Product Code (UPC): 9780387982472

WonderClub Stock Keeping Unit (WSKU): 9780387982472

Rating: 3/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/24/72/9780387982472.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 1.190 cm (0.47 inches)

Heigh : 6.140 cm (2.42 inches)

Depth: 9.210 cm (3.63 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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$104.71	Digital	Arrives between May 4 - Jun 3 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9296 total ratings)

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Paul Justice

reviewed Log-Linear Models And Logistic Regression on February 10, 2013

Log-Linear Models And Logistic Regression

Great book for undergrad level: very well organized with detailed examples, summaries, and applications without overwhelming students. The math could be more rigorous, but felt right for an intro to stats class.

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Log-Linear Models And Logistic Regression, The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds , Log-Linear Models And Logistic Regression

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Add Log-Linear Models And Logistic Regression, The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been placed on logistic regression. The book explores topics such as logistic discrimination and generalised linear models, and builds , Log-Linear Models And Logistic Regression to your collection on WonderClub

Log-Linear Models And Logistic Regression Book

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	Preface to the Second Edition
	Preface to the First Edition
1	Introduction	1
2	Two-Dimensional Tables and Simple Logistic Regression	23
3	Three-Dimensional Tables	69
4	Logistic Regression, Logit Models, and Logistic Discrimination	116
5	Independence Relationships and Graphical Models	178
6	Model Selection Methods and Model Evaluation	211
7	Models for Factors with Quantitative Levels	258
8	Fixed and Random Zeros	279
9	Generalized Linear Models	297
10	The Matrix Approach to Log-Linear Models	314
11	The Matrix Approach to Logit Models	363
12	Maximum Likelihood Theory for Log-Linear Models	396
13	Bayesian Binomial Regression	422
	App.: Tables	455
	References	458
	Author Index	475
	Subject Index	479