عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781461210177
(Number (ISBN
9781461269861
NATIONAL BIBLIOGRAPHY NUMBER
Number
b402705
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
The Statistical Analysis of Discrete Data
General Material Designation
[Book]
First Statement of Responsibility
by Thomas J. Santner, Diane E. Duffy.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
1989.
SERIES
Series Title
Springer Texts in Statistics,
ISSN of Series
1431-875X
CONTENTS NOTE
Text of Note
1 Introduction -- 2 Univariate Discrete Responses -- 3 Loglinear Models -- 4 Cross-Classified Data -- 5 Univariate Discrete Data with Covariates -- Appendix 1. Some Results from Linear Algebra -- Appendix 2. Maximization of Concave Functions -- Appendix 3. Proof of Proposition 3.3.1 (ii) and (iii) -- Appendix 4. Elements of Large Sample Theory -- Problems -- References -- List of Notation -- Index to Data Sets -- Author Index.
0
SUMMARY OR ABSTRACT
Text of Note
The Statistical Analysis of Discrete Data provides an introduction to cur rent statistical methods for analyzing discrete response data. The book can be used as a course text for graduate students and as a reference for researchers who analyze discrete data. The book's mathematical prereq uisites are linear algebra and elementary advanced calculus. It assumes a basic statistics course which includes some decision theory, and knowledge of classical linear model theory for continuous response data. Problems are provided at the end of each chapter to give the reader an opportunity to ap ply the methods in the text, to explore extensions of the material covered, and to analyze data with discrete responses. In the text examples, and in the problems, we have sought to include interesting data sets from a wide variety of fields including political science, medicine, nuclear engineering, sociology, ecology, cancer research, library science, and biology. Although there are several texts available on discrete data analysis, we felt there was a need for a book which incorporated some of the myriad recent research advances. Our motivation was to introduce the subject by emphasizing its ties to the well-known theories of linear models, experi mental design, and regression diagnostics, as well as to describe alterna tive methodologies (Bayesian, smoothing, etc. ); the latter are based on the premise that external information is available. These overriding goals, to gether with our own experiences and biases, have governed our choice of topics.
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9781461269861
PIECE
Title
Springer eBooks
TOPICAL NAME USED AS SUBJECT
Distribution (Probability theory).
Economics-- Statistics.
Statistics.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Santner, Thomas J.
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Duffy, Diane E.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Date of Transaction
20190307162300.0
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
