Exact EDF goodness-of-fit tests for inverse Gaussian ðm, Þ distributions in different cases of unknown parameters are constructed. In the case m is unknown and is known, a chi-square test is also proposed. The powers of the tests are estimated by Monte Carlo method at several different alternative distributions.
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