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• W2065316144 abstract "We consider methods for parameter estimation of the shifted power transformation. The ordinary likelihood function is unbounded and then fails to have a local maximum. This is a non-regular problem in likelihood because the range of observations depends on the unknown shift parameter. To avoid such a difficulty, we discuss the group likelihood method and the maximum product of spacings method, in a univariate case, assuming the power-normal distribution as an underlying distribution for observations. We describe the computational procedures for parameter estimation. To evaluate the performance of the estimates from the two methods, we perform a simulation study. In addition, two examples are given to illustrate some aspects of the two methods." @default.
• W2065316144 created "2016-06-24" @default.
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• W2065316144 date "2007-01-01" @default.
• W2065316144 modified "2023-10-03" @default.
• W2065316144 title "A COMPARISON OF METHODS FOR PARAMETER ESTIMATION OF THE SHIFTED POWER TRANSFORMATION" @default.
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• W2065316144 doi "https://doi.org/10.5183/jjscs1988.20.65" @default.
• W2065316144 hasPublicationYear "2007" @default.
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