Jann, Ben (2007). MGOF: Stata module to perform goodness-of-fit tests for multinomial data. [Software & Other Digital Items]
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mgof.zip - Updated Version Available under License BORIS Standard License. Download (13kB) |
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: |
Software & Other Digital Items |
|---|---|
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: |
05 Dec 2022 14:47 |
Additional Information: |
Statistical Software Components S456854 |
BORIS DOI: |
10.7892/boris.69416 |
URI: |
https://boris.unibe.ch/id/eprint/69416 |
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