TY  - BOOK
AU  - Aldrich,John Herbert
AU  - Nelson,Forrest D.
TI  - Linear probability, logit, and probit models
T2  - Sage university papers series. Quantitative applications in the social sciences
SN  - 0585216932 (electronic bk.)
AV  - QA273 .A545 1984
U1  - 519.2 19
PY  - 1984///
CY  - Beverly Hills
PB  - Sage Publications
KW  - Probabilities
KW  - Logits
KW  - Probits
KW  - Probability
KW  - Logistic Models
KW  - Multivariate Analysis
KW  - Social Sciences
KW  - methods
KW  - Statistics
KW  - Probabilit�es
KW  - MATHEMATICS
KW  - Probability & Statistics
KW  - General
KW  - bisacsh
KW  - Waarschijnlijkheidstheorie
KW  - gtt
KW  - Sociale wetenschappen
KW  - Social sciences
KW  - Regression analysis
KW  - Electronic books
N1  - Includes bibliographical references (p. 93-94); 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
N2  - 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
UR  - http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=24734
ER  -