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Maximum likelihood estimation with Stata

Author: William Gould; Jeffrey S Pitblado; Brian Poi
Publisher: College Station, Tex. : Stata Press, 2010.
Edition/Format:   Print book : English : 4th edView all editions and formats
Summary:
This edition explains how to compute maximum likelihood estimators that are not available as prepackaged routines. The text introduces the theory of maximum likelihood estimation with particular attention on the practical implications for applied work.
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Document Type: Book
All Authors / Contributors: William Gould; Jeffrey S Pitblado; Brian Poi
ISBN: 9781597180788 1597180785
OCLC Number: 654317078
Description: xxii, 352 pages : illustrations ; 24 cm
Contents: Theory and practice --
Introduction to ml --
Overview of ml --
Method If --
Methods lf0, lf1, and lf2 --
Methods d0, d1, and d2 --
Debugging likelihood evaluators --
Setting initial values --
Interactive maximization --
Final results --
Mata-based likelihood evaluators --
Writing do-files to maximize likelihoods --
Writing ado-files to maximize likelihoods --
Writing ado-files for survey data analysis --
Other examples --
Syntax of ml --
Likelihood-evaluator checklists --
Listing of estimation commands.
Responsibility: William Gould, Jeffrey Pitblado, Brian Poi.

Abstract:

This edition explains how to compute maximum likelihood estimators that are not available as prepackaged routines. The text introduces the theory of maximum likelihood estimation with particular attention on the practical implications for applied work.

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