Transformation of Grouped or Censored Data to Near Normality.

Abstract

Box and Cox (1964) an analysis of transformations proposed a power transformation which has proven utility for tranforming ungrouped data to near normality. In this paper, we extend its applicability to two frequently encountered situations: (i) grouped data and (ii) Type I censored data. The asymptotic properties of the estimators are derived and illustrative examples are presented.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1979
Accession Number
ADA080601

Entities

People

  • Richard A. Johnson
  • Victor M. Guerrero

Organizations

  • University of Wisconsin Madison Department of Statistics

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Estimators
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Normality
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Statistical inference.