Sage University Paper in the series: Quanitative Applications in the Social Sciences. Series editors: John L. Sullivan, University of Minnesota and Richard G. Niemi, University of Rochester. N� de r�f. du vendeur 056390

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Titre : Linear Probability, Logit, and Probit Models

�diteur : SAGE Publications, Newbury Park

Date d'�dition : 1984

Reliure : Trade Paperback

Etat : Very Good

Etat de la jaquette : wraps

Edition : First

A propos de ce titre

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This book has soft covers.Ex-library,With usual stamps and markings,In good all round condition.

Pr�sentation de l'�diteur:

Ordinary regression analysis is not appropriate for investigating dichotomous or otherwise "limited" dependent variables, but this volume examines three techniques -- linear probability, probit, and logit models -- which are well-suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models. Using detailed examples, Aldrich and Nelson point out the differences among linear, logit, and probit models, and explain the assumptions associated with each.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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Articles li�s � Linear Probability, Logit, and Probit Models

Linear Probability, Logit, and Probit Models

Aldrich, John H. & Forrest D. Nelson

Ancien(s) ou d'occasion - Couverture souple

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