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Details for article 13 of 19 found articles
| Title: |
Estimating the box-cox transformation via shapiro-wilk W Statistic |
| Author: |
Rahman, Mezbahur |
| Appeared in: |
Communications in statistics |
| Paging: | Volume 28 (1999) nr. 1 pages 223-241 |
| Year: |
1999 |
| Contents: |
The Box-Cox transformation is a well known family of power transformations to bring a set of data into agreement with the normality assumption of the residuals and hence the response variable of a postulated model in regression analysis. This paper proposes a new method for estimating the Box-Cox transformation using maximization of the Shapiro-Wilk W statistic which forces the data to get closer to normal as much as possible. A comparative study of the proposed procedure with the normal based likelihood procedure and the artificial regression model procedure also presented. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 13 of 19 found articles
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