Abstract
Goodness-of-fit tests for continuos distributions are generally handled by the Kolmogorov-Smirnov test which in its classical form requires that the distribution is completely specified. In practice this is seldom the case and one then resorts to estimating parameters from the data and then examining Kolmogorov-Smirnov “type” tests. The standard tables can no longer be used and modifications are necessary.
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© 1999 Springer Science+Business Media New York
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Seshadri, V. (1999). Goodness-of-Fit. In: The Inverse Gaussian Distribution. Lecture Notes in Statistics, vol 137. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1456-4_6
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DOI: https://doi.org/10.1007/978-1-4612-1456-4_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98618-0
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