Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Quantiles for Shapiro-Francia W' Statistic

  • Rahman, Mezbahur (Institute for Mathematical Sciences and Applications, California State University Monterey Bay) ;
  • Ali, Mir Masoom (Department of Mathematical Sciences, Ball State University)
  • Published : 1999.04.30
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Abstract

Table of the empirical quantiles for the well known Shapiro-Francia W' goodness of fit statistic is produced which is more accurate than the existing ones. Prediction equation for the quantiles of W' statistic for sample sizes 30 or more we developed. The process of computing the expected values for the standard normal variate is discussed. This work is intended to make the Shapiro-Francia W' statistic more accessible to the practitioner.

Keywords

References

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