Maximum Likelihood For Social Science
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Language: en
Pages: 327
Pages: 327
Type: BOOK - Published: 2018-11-15 - Publisher: Cambridge University Press
This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computa
Language: en
Pages: 327
Pages: 327
Type: BOOK - Published: 2018-11-22 - Publisher: Cambridge University Press
Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.
Language: en
Pages: 100
Pages: 100
Type: BOOK - Published: 1993 - Publisher: SAGE
This is a short introduction to Maximum Likelihood (ML) Estimation. It provides a general modeling framework that utilizes the tools of ML methods to outline a
Language: en
Pages: 129
Pages: 129
Type: BOOK - Published: 2012-12-06 - Publisher: Birkhäuser
This book contains the lecture notes for a DMV course presented by the authors at Gunzburg, Germany, in September, 1990. In the course we sketched the theory of
Language: en
Pages: 222
Pages: 222
Type: BOOK - Published: 2010-02-22 - Publisher: John Wiley & Sons
A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: