An Extension of Shapiro and Wilk's W Test for Normality to Large Samples

J. P. Royston

Journal of the Royal Statistical Society Series C, 1982, vol. 31, issue 2, 115-124

Abstract: Shapiro and Wilk's (1965) W statistic arguably provides the best omnibus test of normality, but is currently limited to sample sizes between 3 and 50. W is extended up to n = 2000 and an approximate normalizing transformation suitable for computer implementation is given. A novel application of W in transforming data to normality is suggested, using the three‐parameter lognormal as an example.

Date: 1982
References: Add references at CitEc
Citations: View citations in EconPapers (48)

Downloads: (external link)
https://doi.org/10.2307/2347973

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:31:y:1982:i:2:p:115-124

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().