Maximum Likelihood For Social Science

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Maximum Likelihood for Social Science

Author	: Michael D. Ward
Publisher	: Cambridge University Press
Total Pages	: 327
Release	: 2018-11-22
ISBN-10	: 9781107185821
ISBN-13	: 1107185823
Rating	: 4/5 (823 Downloads)

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Book Synopsis Maximum Likelihood for Social Science by : Michael D. Ward

Download or read book Maximum Likelihood for Social Science written by Michael D. Ward and published by Cambridge University Press. This book was released on 2018-11-22 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Maximum Likelihood for Social Science Related Books

Language: en
Pages: 327

Maximum Likelihood for Social Science

Authors: Michael D. Ward

Categories: Political Science

Type: BOOK - Published: 2018-11-22 - Publisher: Cambridge University Press

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Practical, example-driven introduction to maximum likelihood for the social sciences. Emphasizes computation in R, model selection and interpretation.

Language: en
Pages: 100

Maximum Likelihood Estimation

Authors: Scott R. Eliason

Categories: Mathematics

Type: BOOK - Published: 1993 - Publisher: SAGE

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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: 393

Maximum Likelihood Estimation for Sample Surveys

Authors: Raymond L. Chambers

Categories: Mathematics

Type: BOOK - Published: 2012-05-02 - Publisher: CRC Press

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Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likeli

Language: en
Pages: 138

Regression Diagnostics

Authors: John Fox

Categories: Social Science

Type: BOOK - Published: 2019-12-09 - Publisher: SAGE Publications

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Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For exa

Language: en
Pages: 393

Statistical Modeling and Inference for Social Science

Authors: Sean Gailmard

Categories: Political Science

Type: BOOK - Published: 2014-06-09 - Publisher: Cambridge University Press

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Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the