A Likelihood Ratio Statistic for Testing Goodness of Fit with Randomly Censored Data
Abstract
A likelihood ratio statistic is proposed for testing goodness of fit with grouped data which are subject to random right censoring. It is shown that, under appropriate conditions, this statistic has an asymptotic chi-square distribution which is non-central under contiguous alternatives. Some examples are given including one on marijuana usage which needs an extension of the test to the doubly censored case.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1976
- Accession Number
- ADA030681
Entities
People
- Bruce W. Turnbull
- Lionel Weiss
Organizations
- Cornell University College of Engineering