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- W1605975829 abstract "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." @default.
- W1605975829 created "2016-06-24" @default.
- W1605975829 creator A5064012317 @default.
- W1605975829 date "2007-06-29" @default.
- W1605975829 modified "2023-09-27" @default.
- W1605975829 title "MGOF: Stata module to perform goodness-of-fit tests for multinomial data" @default.
- W1605975829 doi "https://doi.org/10.7892/boris.69416" @default.
- W1605975829 hasPublicationYear "2007" @default.
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