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Transformation of Life-Test Data

Published online by Cambridge University Press:  20 November 2018

Norman R. Draper
Affiliation:
University of Wisconsin Madison
Irwin Guttman
Affiliation:
University of Wisconsin Madison
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In a recent paper Box and Cox (1964) considered the problem of transforming dependent variables in regression and analysis of variance problems, in order to achieve the usual assumptions of Normality, constant variance and additivity of effects. Here we adopt the same approach to investigate transformations of data which allow the transformed observations to follow a Gamma distribution. A special case of this is the exponential distribution, valuable in life-testing, for which examples are given.

Type
Research Article
Copyright
Copyright © Canadian Mathematical Society 1968

References

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