Abstract
The aim of the present paper is to construct a series of estimators and tests in the one and the two sample problems in the gamma distribution through the Kullback-Leibler loss. Some of them are newly introduced here. When the approach is applied to the case of the normal distribution, the well known estimators and tests are derived. It is found that the conditional maximum likelihood estimator of the dispersion parameter plays a key role.
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Yanagimoto, T., Yamamoto, E. Constructing elementary procedures for inference of the gamma distribution. Ann Inst Stat Math 43, 539–550 (1991). https://doi.org/10.1007/BF00053371
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DOI: https://doi.org/10.1007/BF00053371