Pakistan Journal of Statistics and Operation Research, pages 1113-1121
A Modified Chi-square Type Test for Distributional Validity with Applications to Right Censored Reliability and Medical Data
M. Yousof H., Al-nefaie A.H., Aidi K., Ali M.M., Mohamed M.I.
Publication type: Journal Article
Publication date: 2021-12-03
scimago Q2
SJR: 0.473
CiteScore: 3.3
Impact factor: 1.1
ISSN: 18162711, 22205810
Statistics and Probability
Statistics, Probability and Uncertainty
Modeling and Simulation
Management Science and Operations Research
Abstract
In this paper, a modified Chi-square goodness-of-fit test called the modified Bagdonavičius-Nikulin goodness-of-fit test statistic is investigated and the applied for distributional validation under the right censored case. The new modified goodness-of-fit test is presented and applied for the right censored data sets. The algorithm of the censored Barzilai-Borwein is employed via a comprehensive simulation study for assessing validity of the new test. The modified Bagdonavičius-Nikulin test is applied to four real and right censored data sets. A new distribution is compared with many other competitive distributions under the new modified Bagdonavičius-Nikulin goodness-of-fit test statistic.
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