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Regression models for categorical, count, and related variables : (Record no. 55217)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field ocn953576519
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200827121525.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160712t20162016cau ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2016032215
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency DLC
Modifying agency OCLCO
-- N$T
-- OCLCF
-- YDX
-- EBLCP
-- CSAIL
-- IDB
-- OCLCQ
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-- IGB
-- STF
-- DEGRU
-- OCLCQ
019 ## -
-- 957616014
-- 958350436
-- 958447112
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780520965492
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0520965493
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780520289291
Qualifying information (pbk. ;
-- alk. paper)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0520289293
Qualifying information (pbk. ;
-- alk. paper)
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000057938023
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier CHNEW
System control number 000886259
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier CHVBK
System control number 374449597
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)953576519
Canceled/invalid control number (OCoLC)957616014
-- (OCoLC)958350436
-- (OCoLC)958447112
037 ## - SOURCE OF ACQUISITION
Stock number 22573/ctv1wqdp5
Source of stock number/acquisition JSTOR
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 10 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HA31.3
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 003000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SOC
Subject category code subdivision 027000
Source bisacsh
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5/36
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Hoffmann, John P.
Fuller form of name (John Patrick),
Dates associated with a name 1962-
Relator term author.
Authority record control number or standard number http://id.loc.gov/authorities/names/n2003008271
245 10 - TITLE STATEMENT
Title Regression models for categorical, count, and related variables :
Remainder of title an applied approach /
Statement of responsibility, etc. John P. Hoffmann.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1608
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Oakland, California :
Name of producer, publisher, distributor, manufacturer University of California Press,
Date of production, publication, distribution, manufacture, or copyright notice [2016]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice �2016
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Review of linear regression models -- Categorical data and generalized linear models -- Logistic and probit regression models -- Ordered logistic and probit regression models -- Multinomial logistic and probit regression models -- Poisson and negative binomial regression models -- Event history models -- Regression models for longitudinal data -- Multilevel regression models -- Principal components and factor analysis -- Appendix A : SAS, SPSS, and R code for examples in chapters -- Appendix B : using simulations to examine assumptions of OLS regression -- Appendix C : working with missing data.
520 ## - SUMMARY, ETC.
Summary, etc. "Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner. This book provides an introduction and overview of several statistical models designed for these types of outcomes--all presented under the assumption that the reader has only a good working knowledge of elementary algebra and has taken introductory statistics and linear regression analysis. Numerous examples from the social sciences demonstrate the practical applications of these models. The chapters address logistic and probit models, including those designed for ordinal and nominal variables, regular and zero-inflated Poisson and negative binomial models, event history models, models for longitudinal data, multilevel models, and data reduction techniques such as principal components and factor analysis. Each chapter discusses how to utilize the models and test their assumptions with the statistical software Stata, and also includes exercise sets so readers can practice using these techniques. Appendices show how to estimate the models in SAS, SPSS, and R; provide a review of regression assumptions using simulations; and discuss missing data. A companion website includes downloadable versions of all the data sets used in the book"--Provided by publisher.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record and CIP data provided by publisher; resource not viewed.
590 ## - LOCAL NOTE (RLIN)
Local note eBooks on EBSCOhost
Provenance (VM) [OBSOLETE] EBSCO eBook Subscription Academic Collection - Worldwide
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Regression analysis
General subdivision Mathematical models.
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh2009006876
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Regression analysis
General subdivision Computer programs.
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh85112393
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Statistical methods.
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh85124018
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MATHEMATICS
General subdivision Applied.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MATHEMATICS
General subdivision Probability & Statistics
-- General.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SOCIAL SCIENCE
General subdivision Statistics.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Regression analysis
General subdivision Computer programs.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01093273
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Regression analysis
General subdivision Mathematical models.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01093277
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Statistical methods.
Source of heading or term fast
Authority record control number or standard number (OCoLC)fst01122983
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Hoffmann, John P. (John Patrick), 1962-
Title Regression models for categorical, count, and related variables.
Place, publisher, and date of publication Oakland, California : University of California Press, [2016]
International Standard Book Number 9780520289291
Record control number (DLC) 2016030975
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://libproxy.firstcity.edu.my:8443/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1293234">https://libproxy.firstcity.edu.my:8443/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1293234</a>
938 ## -
-- De Gruyter
-- DEGR
-- 9780520965492
938 ## -
-- EBL - Ebook Library
-- EBLB
-- EBL4700075
938 ## -
-- EBSCOhost
-- EBSC
-- 1293234
938 ## -
-- YBP Library Services
-- YANK
-- 13128039
994 ## -
-- 92
-- MYFCU

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