MGOF: Stata module to perform goodness-of-fit tests for multinomial data

Jann, Ben (29 June 2007). MGOF: Stata module to perform goodness-of-fit tests for multinomial data (Statistical Software Components S456854). Boston College Department of Economics

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mgof computes goodness-of-fit tests for the distribution of a discrete (categorical, multinomial) variable. The default is to perform classical large sample chi-squared approximation tests based on Pearson's X2 statistic and the log likelihood ratio (G2) statistic or a statistic from the Cressie-Read family. Alternatively, mgof computes exact tests using Monte Carlo methods or exhaustive enumeration. A Kolmogorov-Smirnov test for discrete data is also provided. The moremata package, also available from SSC, is required.

Item Type:

Working Paper

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Sociology

UniBE Contributor:

Jann, Ben

Subjects:

300 Social sciences, sociology & anthropology

Series:

Statistical Software Components

Publisher:

Boston College Department of Economics

Language:

English

Submitter:

Ben Jann

Date Deposited:

30 Jun 2016 09:43

Last Modified:

30 Jun 2016 09:43

BORIS DOI:

10.7892/boris.69416

URI:

https://boris.unibe.ch/id/eprint/69416

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