Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


Normal view MARC view ISBD view

Generalized linear models for categorical and continuous limited dependent variables / Michael Smithson and Edgar C. Merkle.

By: Smithson, Michael.
Contributor(s): Merkle, Edgar C.
Material type: TextTextSeries: Chapman & Hall/CRC statistics in the social and behavioral sciences series.Publisher: Boca Raton : CRC Press, c2014Description: xxiii, 284 p. : ill. ; 24 cm.ISBN: 9781466551732 (hardback).Subject(s): Variables (Mathematics) | Linear models (Statistics) | Mathematical constants | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 511.326
Contents:
1. Introduction and overview-- I. Discrete variables 2. Binary variables-- 3. Nominal polytomous variables-- 4. Ordinal categorical variables-- 5. Count variables-- II Continuous variables 6. Doubly bounded continuous variables-- 7. Censoring and truncation-- 8. Extensions-- References-- Author index-- Subject index.
Summary: "Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. "--Summary: "This book is devoted to dependent variables other than those for which linear regression is appropriate. The authors argue that such dependent variables are, if anything, more common throughout the human sciences than the kind that suit linear regression. Presenting a broader but unified coverage in which the authors attempt to integrate concepts and ideas shared across models and types of data broader but unified coverage in which we attempt to integrate the concepts and ideas shared across models and types of data, especially regarding conceptual links between discrete and continuous limited dependent variables"--
Tags from this library: No tags from this library for this title. Log in to add tags.

Includes bibliographical references (pages 261-274) and indexes.

1. Introduction and overview--
I. Discrete variables
2. Binary variables--
3. Nominal polytomous variables--
4. Ordinal categorical variables--
5. Count variables--

II Continuous variables
6. Doubly bounded continuous variables--
7. Censoring and truncation--
8. Extensions--

References--
Author index--
Subject index.

"Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. "--

"This book is devoted to dependent variables other than those for which linear regression is appropriate. The authors argue that such dependent variables are, if anything, more common throughout the human sciences than the kind that suit linear regression. Presenting a broader but unified coverage in which the authors attempt to integrate concepts and ideas shared across models and types of data broader but unified coverage in which we attempt to integrate the concepts and ideas shared across models and types of data, especially regarding conceptual links between discrete and continuous limited dependent variables"--

There are no comments for this item.

Log in to your account to post a comment.
Library, Documentation and Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata 700108, INDIA
Phone no. 91-33-2575 2100, Fax no. 91-33-2578 1412, ksatpathy@isical.ac.in


Visitor Counter