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Linear Probability Logit & Probit Models

Linear Probability Logit & Probit Models Natural Sciences

Linear Probability Logit & Probit Models

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Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
96
Release Date:
1985-02-21
Publication Date:
1984-11-01
Publisher:
Sage Publications
Languages:
Original: English
ISBN10:
0803921330
ISBN13:
9780803921337
Weight:
118 g
Height:
153 cm
Width:
203 cm
Thickness:
6 cm

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Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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