You are not currently logged in.
Access JSTOR through your library or other institution:
Data Transformation in Two-Way Analysis of Variance
James J. Schlesselman
Journal of the American Statistical Association
Vol. 68, No. 342 (Jun., 1973), pp. 369-378
Stable URL: http://www.jstor.org/stable/2284078
Page Count: 10
You can always find the topics here!Topics: Statistical variance, Point estimators, Confidence interval, Additivity, Analysis of variance, Mathematical transformations, Term weighting, Interval estimators, Statistics, Degrees of freedom
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
A procedure for choosing a power transformation so that data from a replicated two-way classification better satisfy the usual analysis of variance assumptions is described. The statistic proposed in this article is compared with the Box and Cox  likelihood procedure by empirical sampling. Its 95 percent confidence intervals performed at their nominal level, which was not true for the likelihood method. Point estimates for both techniques were the same on the average, although those based upon the likelihood statistic were somewhat less variable.
Journal of the American Statistical Association © 1973 American Statistical Association