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" Linear probability, logit, and probit models / "


Document Type : BL
Record Number : 977234
Doc. No : b731604
Main Entry : Aldrich, John H.,1947-
Title & Author : Linear probability, logit, and probit models /\ John H. Aldrich, Forrest D. Nelson.
Publication Statement : Beverly Hills :: Sage Publications,, ©1984.
Series Statement : Sage university papers series. Quantitative applications in the social sciences ;; no. 07-045
Page. NO : 1 online resource (95 pages) :: illustrations
ISBN : 0585216932
: : 1412984742
: : 9780585216935
: : 9781412984744
: 0803921330
: 9780803921337
Bibliographies/Indexes : Includes bibliographical references (pages 93-94).
Contents : The linear probability model -- Specification of nonlinear probability models -- Estimation of probit and logit models for dichotomous dependent variables -- Minimum chi-square estimation and polytomous models -- Minimum chi-square estimation and polytomous models -- Summary and extensions.
Abstract : After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models.
Subject : Logits.
Subject : Probabilities.
Subject : Probits.
Subject : Logistic Models.
Subject : Multivariate Analysis.
Subject : Probability.
Subject : Social Sciences-- methods.
Subject : Logits.
Subject : Probabilités.
Subject : Probits.
Subject : Logits.
Subject : MATHEMATICS-- Probability Statistics-- General.
Subject : Probabilities.
Subject : Probits.
Subject : Logits.
Subject : Probits.
Subject : Sociale wetenschappen.
Subject : Waarschijnlijkheidstheorie.
Dewey Classification : ‭519.2‬
LC Classification : ‭QA273‬‭.A545 1984‬
NLM classification : ‭31.70‬bcl
Added Entry : Nelson, Forrest D.
copyhttps://lib.clisel.com/site/catalogue/977234
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