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Engineering: Open Access(EOA)

ISSN: 2993-8643 | DOI: 10.33140/EOA

Impact Factor: 1.18

Power XShanker Distribution: Properties, Estimation, and Applications

Abstract

Franklin C. Oha, Harrison O. Etaga, Precious O. Ibeakuzie, Ifeanyi C. Anabike, and Okechukwu J. Obulezi

A two-parameter extension of the XShanker distribution called power XShanker is developed and studied in this article. The properties which include moment, quantile function, moment generating function, order statistics, stress-strength reliability function, and Rény entropy were studied. The classical and Bayesian estimation procedures were studied with simulations. The usefulness of the proposed model was demonstrated using lifetime data sets.

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