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Abstract Approximate tests for the mean of a gamma distribution with both parameters unknown are derived. The power of these tests is close to the power of the corresponding uniformly most powerful tests for the mean when the shape parameter is assumed known. The tests are studied by Monte Carlo simulation, and limiting results are also provided as the shape parameter goes to zero or infinity, as well as for the large-sample case. A limited study indicating the nonrobustness of the standard t test for this case is also included. Key Words: Gamma distributionMean of the gamma distributionApproximate testsMaximum likelihood
Grice et al. (Mon,) studied this question.