In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distribution based on general progressive type II censoring. These estimates are derived using the maximum likelihood and Bayesian approaches. In the Bayesian approach, the two parameters are assumed to be random variables and estimators for the parameters are obtained using the well known squared error loss (SEL) function. The findings are illustrated with actual and computer generated data.
| Published in | American Journal of Theoretical and Applied Statistics (Volume 3, Issue 6) |
| DOI | 10.11648/j.ajtas.20140306.17 |
| Page(s) | 217-222 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Kumaraswamy’s Distribution, Bayes Estimation, Bayes Prediction, General Progressive Type II Censoring
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APA Style
Mostafa Mohie Eldin, Nora Khalil, Montaser Amein. (2014). Estimation of Parameters of the Kumaraswamy Distribution Based on General Progressive Type II Censoring. American Journal of Theoretical and Applied Statistics, 3(6), 217-222. https://doi.org/10.11648/j.ajtas.20140306.17
ACS Style
Mostafa Mohie Eldin; Nora Khalil; Montaser Amein. Estimation of Parameters of the Kumaraswamy Distribution Based on General Progressive Type II Censoring. Am. J. Theor. Appl. Stat. 2014, 3(6), 217-222. doi: 10.11648/j.ajtas.20140306.17
AMA Style
Mostafa Mohie Eldin, Nora Khalil, Montaser Amein. Estimation of Parameters of the Kumaraswamy Distribution Based on General Progressive Type II Censoring. Am J Theor Appl Stat. 2014;3(6):217-222. doi: 10.11648/j.ajtas.20140306.17
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Download@article{10.11648/j.ajtas.20140306.17,
author = {Mostafa Mohie Eldin and Nora Khalil and Montaser Amein},
title = {Estimation of Parameters of the Kumaraswamy Distribution Based on General Progressive Type II Censoring},
journal = {American Journal of Theoretical and Applied Statistics},
volume = {3},
number = {6},
pages = {217-222},
doi = {10.11648/j.ajtas.20140306.17},
url = {https://doi.org/10.11648/j.ajtas.20140306.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20140306.17},
abstract = {In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distribution based on general progressive type II censoring. These estimates are derived using the maximum likelihood and Bayesian approaches. In the Bayesian approach, the two parameters are assumed to be random variables and estimators for the parameters are obtained using the well known squared error loss (SEL) function. The findings are illustrated with actual and computer generated data.},
year = {2014}
}
TY - JOUR T1 - Estimation of Parameters of the Kumaraswamy Distribution Based on General Progressive Type II Censoring AU - Mostafa Mohie Eldin AU - Nora Khalil AU - Montaser Amein Y1 - 2014/12/27 PY - 2014 N1 - https://doi.org/10.11648/j.ajtas.20140306.17 DO - 10.11648/j.ajtas.20140306.17 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 217 EP - 222 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20140306.17 AB - In this paper, we produced a study in Estimation for parameters of the Kumaraswamy distribution based on general progressive type II censoring. These estimates are derived using the maximum likelihood and Bayesian approaches. In the Bayesian approach, the two parameters are assumed to be random variables and estimators for the parameters are obtained using the well known squared error loss (SEL) function. The findings are illustrated with actual and computer generated data. VL - 3 IS - 6 ER -
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