Modified goodness-of-fit tests for the inverse Gaussian distribution
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Publication:1391888
DOI10.1016/S0167-9473(96)00056-4zbMath0900.62231OpenAlexW2074527697WikidataQ127673490 ScholiaQ127673490MaRDI QIDQ1391888
Dennis C. Dietz, Paul F. Auclair, Albert H. Moore, Huseyin Gunes
Publication date: 23 July 1998
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(96)00056-4
Nonparametric hypothesis testing (62G10) Probabilistic methods, stochastic differential equations (65C99)
Related Items (8)
Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis ⋮ A maximum entropy type test of fit ⋮ On a control chart for the Gini index with simulations ⋮ A new estimator of Kullback–Leibler information and its application in goodness of fit tests ⋮ Unnamed Item ⋮ Estimation of means and covariances of inverse-Gaussian order statistics. ⋮ Cumulant plots and goodness-of-fit tests for the inverse Gaussian distribution ⋮ Goodness-of-fit tests via ϕ-measures of divergence for censored data
Cites Work
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- Statistical Properties of Inverse Gaussian Distributions. I
- A modified Kolmogorov-Smirnov test for the inverse gaussian density with unknown parameters
- Quadratic statistics for the goodness-of-fit test of the inverse Gaussian distribution
- Goodness of fit for the inverse Gaussian distribution
- Generating Random Variates Using Transformations with Multiple Roots
- The Inverse Gaussian Distribution as a Lifetime Model
- On the Inverse Gaussian Distribution Function
- Sufficient Conditions for a First Passage Time Process to be that of Brownian Motion
- THE PROBABILITY INTEGRAL TRANSFORMATION WHEN PARAMETERS ARE ESTIMATED FROM THE SAMPLE
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