Main Article Content

Abstract

After studying the mathematical properties of the Double Burr XII model, we present Bayesian and non-Bayesian estimation for its unknown parameters. Also, we constructed a new statistical test for goodness-of-fit in case of complete and censored samples. The modified test is developed based on the Nikulin-Rao-Robson statistic for validation. Simulations are performed for assessing the new test along with nine applications on real data.

Keywords

Barzilai-Borwein Algorithm; Bayesian Estimation; Validation Nikulin-Rao-Robson;

Article Details

How to Cite
Ibrahim, M., Ali, M. M., Goual, H., & Yousof, H. (2022). The Double Burr Type XII Model: Censored and Uncensored Validation Using a New Nikulin-Rao-Robson Goodness-of-Fit Test with Bayesian and Non-Bayesian Estimation Methods. Pakistan Journal of Statistics and Operation Research, 18(4), 901-927. https://doi.org/10.18187/pjsor.v18i4.3600

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