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.
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number
S456854.
Size: Programming language: Stata Requires: Stata version 9.2 Date of creation: 29 Jun 2007 Date of revision:
14 Jul 2008 Handle: RePEc:boc:bocode:s456854
Note: This module may 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 Phone: 617-552-3670 Fax: +1-617-552-2308 Email: Web page: http://fmwww.bc.edu/EC/ More information through EDIRC