Title: Exact EDF Goodness-of-Fit Tests for Inverse Gaussian Distributions
Abstract: Abstract Exact EDF goodness-of-fit tests for inverse Gaussian (m, λ) distributions in different cases of unknown parameters are constructed. In the case m is unknown and λ is known, a chi-square test is also proposed. The powers of the tests are estimated by Monte Carlo method at several different alternative distributions.
Publication Year: 2003
Publication Date: 2003-01-06
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 5
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot