| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1154367 | Statistics & Probability Letters | 2015 | 8 Pages |
Abstract
We propose an extension of Kullback–Leibler information to the survival function, and generalize it to the censored case. We evaluate its performance as a goodness-of-fit test statistic with the progressively Type-II censored data. The new test is evaluated through Monte Carlo Simulations.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Sangun Park, Reza Pakyari,