An extensive extension of exponentiated exponential distribution using alpha power transformation – statistical properties and applications in engineering science
Author:
Affiliation:
1. Department Of Mathematics , Bhagwant University , Rajasthan , India
2. Division of Statistics and Computer Science , Main Campus SKUAST-J , Jammu India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
General Medicine
Link
https://www.sciendo.com/pdf/10.2478/jamsi-2021-0009
Reference12 articles.
1. [1] Abdullahi J, Abdullahi UK, Ieren TG, Kuhe DA, Umar AA. On the properties and applications of transmuted odd generalized exponential- exponential distribution. Asian J. of Prob. Stat. 2018;1(4):114. DOI: 10.9734/AJPAS/2018/4407
2. [2] Ateeq, K. Qasim, B.T. and Alvi, R.A. (2019). An extension of Rayleigh distribution and applications. Cogent Mathematics and Statistics, 6(1), 1-16.10.1080/25742558.2019.1622191
3. [3] Afaq Ahmad, S.P. Ahmad, A. Ahmad (2018). Estimation of parameters of two parameter exponentiated gamma distribution using R software. Pakistan journal of statistics, 34(5): 359-375.
4. [5] Fatima Bi, Afaq Ahmad (2019). Bayesian estimation of the parameter of Ailamujia distribution using different loss functions. International journal of research in advent technology, special issue 7-10.
5. [6] Ghazal, M.G.M. and Hasaballah, H.M. (2017). Exponentiated Rayleigh distribution: A Bayes study using MCMC approach based on unified hybrid censored data. Journal of Advances in Mathematics, 12(12), 6863-6880.10.24297/jam.v12i12.4599
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