Tests for outliers in the inverse Gaussian distribution, with application to first hitting time models

DOI10.1080/00949655.2010.527843zbMath1431.62465OpenAlexW2113386663MaRDI QIDQ4913928

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Publication date: 17 April 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2010.527843

zbMATH Keywords

outlierslikelihood ratiofirst hitting timeinverse Gaussian

Mathematics Subject Classification ID

Reliability and life testing (62N05)

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The Poisson-inverse-Gaussian regression model with cure rate: a Bayesian approach and its case influence diagnostics

Cites Work

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• Review and implementation of cure models based on first hitting times for Wiener processes
• Threshold regression for survival analysis: modeling event times by a stochastic process reaching a boundary
• Statistical Properties of Inverse Gaussian Distributions. I
• Analysis of Two-Factor Experiments Under an Inverse Gaussian Model
• An Approximate Normalizing Power Transformation for theFDistribution
• Generating Random Variates Using Transformations with Multiple Roots

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