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American Journal of Mathematical and Management Sciences Volume 33, 2014 - Issue 3
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Original Articles

Interval Prediction of Future Order Statistics in Two-Component Mixture Inverse Lomax Model: A Bayesian Approach

Jafer RahmanDepartment of Statistics, Hazara University, Mansehra21300, PakistanCorrespondence[email protected]
&
Muhammad AslamDepartment of Basic Sciences, Riphah International University, Islamabad46000, Pakistan
Pages 216-227 | Published online: 15 Sep 2014

Citations (6)

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Read on this site (1)

Jafer Rahman. (2018) Bayesian Point and Interval Prediction of Ordered Observations in Future Censored Samples from Contagious Geometric Distribution. American Journal of Mathematical and Management Sciences 37:4, pages 370-385.
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Articles from other publishers (5)

Fatimah AlmuhayfithE.E. & Afrah Al-Bossly. (2022) Statistical inference of type-I hybrid censored inverse Lomax samples. Thermal Science 26:Spec. issue 1, pages 339-351.
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Amer Ibrahim Al-Omari, Amal S. Hassan, Naif Alotaibi, Mansour Shrahili & Heba F. Nagy. (2021) Reliability Estimation of Inverse Lomax Distribution Using Extreme Ranked Set Sampling. Advances in Mathematical Physics 2021, pages 1-12.
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Amal SOLİMAN & Doaa ISMAİL. (2021) Estimation of Parameters of Topp-Leone Inverse Lomax Distribution in Presence of Right Censored Samples. Gazi University Journal of Science 34:4, pages 1193-1208.
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Hassan et al.. (2021) A new generalization of the inverse Lomax distribution with statistical properties and applications. International Journal of ADVANCED AND APPLIED SCIENCES 8:4, pages 89-97.
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Jafer Rahman & Muhammad Aslam. (2014) On estimation of two-component mixture inverse Lomax model via Bayesian approach. International Journal of System Assurance Engineering and Management 8:S1, pages 99-109.
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