서지주요정보
Regression models for categorical, count, and related variables : an applied approach / [electronic resource]
서명 / 저자 Regression models for categorical, count, and related variables : [electronic resource] an applied approach / John P. Hoffmann.
저자명 Hoffmann, John P
발행사항 Oakland, California : University of California Press, [2016]
Online Access http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1293234URL

서지기타정보

서지기타정보
청구기호 HA31.3
형태사항 1 online resource.
언어 English
서지주기 Includes bibliographical references and index.
내용 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.
주제 Regression analysis --Mathematical models.
Regression analysis --Computer programs.
Social sciences --Statistical methods.
MATHEMATICS / Applied --bisacsh
MATHEMATICS / Probability & Statistics / General --bisacsh
Regression analysis --Computer programs. --fast --(OCoLC)fst01093273
Regression analysis --Mathematical models. --fast --(OCoLC)fst01093277
Social sciences --Statistical methods. --fast --(OCoLC)fst01122983
LCCN 2016032215
ISBN 9780520965492q(electronic bk.) 0520965493
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