A modified Kolmogorov-Smirnov test for the inverse gaussian density with unknown parameters

DOI10.1080/03610918808812721zbMath0695.62116OpenAlexW2064246641MaRDI QIDQ3471450

Rick L. Edgeman, Robert C. Scott, Robert J. Pavur

Publication date: 1988

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918808812721

zbMATH Keywords

Monte Carlo simulationgoodness-of-fitempirical distribution function

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05)

Related Items (17)

Goodness-of-fit tests for the inverse Gaussian and related distributions ⋮ Tests for exponentiality against the \({\mathcal M}\) and \({\mathcal {LM}}\)-classes of life distributions ⋮ Characterizations and testing hypotheses for NBRUL-\(t_0\) class of life distributions ⋮ A maximum entropy type test of fit ⋮ Modified goodness-of-fit tests for the inverse Gaussian distribution ⋮ An empirical likelihood ratio based goodness-of-fit test for inverse Gaussian distributions ⋮ An efficient correction to the density-based empirical likelihood ratio goodness-of-fit test for the inverse Gaussian distribution ⋮ A bootstrap control chart for inverse Gaussian percentiles ⋮ Cumulant plots and goodness-of-fit tests for the inverse Gaussian distribution ⋮ A sequential sampling plan for the inverse gaussian mean ⋮ On testing the inverse Gaussian distribution hypothesis ⋮ Moments of nonparametric probability density functions of entropy estimators applied to testing the inverse Gaussian distribution ⋮ Exact EDF Goodness-of-Fit Tests for Inverse Gaussian Distributions ⋮ Goodness-of-fit tests via ϕ-measures of divergence for censored data ⋮ Sprt and cusum results for inverse gaussian processes ⋮ An entropy characterization of the inverse Gaussian distribution and related goodness-of-fit test ⋮ Silver jubilee issue

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• The first passage time distribution of Brownian motion with positive drift
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• Modified goodness-of-fit tests for the logistic distribution with unknown location and scale parameters
• Goodness-of-fit tests for the two parameter Weibull distribution
• Kolmogorov-Smirnov tests when parameters are estimated with applications to tests of exponentiality and tests on spacings
• Goodness of fit for the extreme value distribution
• Modified Goodness-of-Fit Tests for Gamma Distributions with Unknown Location and Scale Parameters

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