Main Article Content

Abstract

A new modified version of the Bagdonavičius-Nikulin goodness-of-fit test statistic is presented for validity for the right censor case under the double Burr type X distribution. The maximum likelihood estimation method in censored data case is used and applied. Simulations via the algorithm of Barzilai-Borwein is performed for assessing the right censored estimation method. Another simulation study is presented for testing the null hypothesis under the modified version of the Bagdonavičius and Nikulin goodness-of-fit statistical test. Four right censored data sets are analyzed under the new modified test statistic for checking the distributional validation.

Keywords

Right Censored Validation Barzilai-Borwein Bagdonavičius-Nikulin Double Burr type X Goodness-of-fit Test Simulation

Article Details

How to Cite
Aidi, K., Butt, N. S., Ali, M. M., Ibrahim, M., Yousof, H. M., & Shehata, W. A. M. (2021). A Modified Chi-square Type Test Statistic for the Double Burr X Model with Applications to Right Censored Medical and Reliability Data. Pakistan Journal of Statistics and Operation Research, 17(3), 615-623. https://doi.org/10.18187/pjsor.v17i3.3888

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