A Computer Program For Transforming Data To Normality | ||||
| The Egyptian Statistical Journal | ||||
| Article 12, Volume 34, Issue 2, December 1990, Page 436-447 PDF (4.33 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/esju.1990.315052 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Mahmoud Seyedsadr* | ||||
| Radiation Oncology Departement, Wayne State University, Michigan, U.S.A | ||||
| Abstract | ||||
| The parametric family of transformation suggested by Box and Cox (1964) for construction of a transformation of the dependent variable to produce normality in the analysis of variance problem is considered. A computer program is developed to find the most suitable values of the vector of parameters for this family of transformation. This program is used to transform a data from the literature. | ||||
| Keywords | ||||
| Box-Cox Family of Transformations; Maximizing Likelihood Function; Assumption of Normality; Fortran program | ||||
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