Quadratic statistics for the goodness-of-fit test of the inverseGaussian distribution |
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Authors: | Pavur R.J. Edgeman R.L. Scott R.C. |
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Affiliation: | North Texas Univ., Denton, TX; |
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Abstract: | The problem of using a quadratic test to examine the goodness-of-fit of an inverse Gaussian distribution with unknown parameters is discussed. Tables of approximate critical values of Anderson-Darling, Cramer-von Mises, and Watson test statistics are presented in a format requiring only the sample size and the estimated value of the shape parameter. A relationship is found between the sample size and critical values of these test statistics, thus eliminating a need to interpolate among sample sizes given in the table. A power study showed that the proposed modified goodness-of-fit procedures have reasonably good power |
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