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The Chen–Shapiro test for normality

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  • Michal Brzezinski

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

The Chen–Shapiro test for normality (Chen and Shapiro, 1995, Journal of Statistical Computation and Simulation 53: 269–288) has been shown in simulation studies to be generally slightly more powerful than the commonly used Shapiro-Wilk and Shapiro-Francia tests, implemented in Stata official commands swilk and sfrancia. I present the chens command, which performs the Chen– Shapiro test in Stata. Copyright 2012 by StataCorp LP.

Suggested Citation

  • Michal Brzezinski, 2012. "The Chen–Shapiro test for normality," Stata Journal, StataCorp LP, vol. 12(3), pages 368-374, September.
    • Handle: RePEc:tsj:stataj:v:12:y:2012:i:3:p:345-367
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    References listed on IDEAS

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    1. William Gould & William Rogers, 1992. "Summary of Tests of Normality," Stata Technical Bulletin, StataCorp LP, vol. 1(3).
    2. William Gould, 1992. "Final summary of tests of normality," Stata Technical Bulletin, StataCorp LP, vol. 1(5).
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    Cited by:

    1. Glenn W. Harrison & J. Todd Swarthout, 2016. "Cumulative Prospect Theory in the Laboratory: A Reconsideration," Experimental Economics Center Working Paper Series 2016-04, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.

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