MGOF: Stata module to perform goodness-of-fit tests for multinomial data
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.
|Requires:||Stata version 9.2|
|Date of creation:||29 Jun 2007|
|Date of revision:||14 Jul 2008|
|Note:||This module should be installed from within Stata by typing "ssc install mgof". Windows users should not attempt to download these files with a web browser.|
|Contact details of provider:|| Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/EC/
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|Order Information:||Web: http://repec.org/docs/ssc.php|
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