Analysis of rare events /

Rare events represent a great analytical challenge. The maximum likelihood-based (ML) binary logit model as the workhorse model in the social sciences can generate heavily biased parameter estimates if events are rare. In detail, the finite sample bias in ML estimates may be substantially larger tha...

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Bibliographic Details
Main Author: Leitgöb, Heinz (Author)
Other Authors: Atkinson, Paul, 1947- (Editor), Delamont, Sara, 1947- (Editor), Cernat, Alexandru (Editor), Sakshaug, Joseph W. (Editor), Williams, Richard A., active 2020 (Editor)
Format: eBook
Language:English
Published: London : SAGE Publications Ltd., 2020.
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Call Number: GN11
 
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GN11 Available