In this paper, we consider power odd generalized exponential-Gompertz (POGE-G) distribution which is capable of life tables to calculate death rates (failure). Based on simulated data from the PPOGE-G distribution, we consider the problem of estimation of parameters under classical approaches and Bayesian approaches. In this regard, we obtain maximum likelihood (ML) estimates, maximum product of spacing (MPS) and Bayes estimates under squared error loss function. We also compute 95% asymptotic confidence interval and highest posterior density interval estimates. The Monte Carlo simulation will be conduct to study and compare the performance of the various proposed estimators (simulation study indicates that the performance of MPS estimates is better MLE estimates and the performance of Bayes estimates is also better). Finally, application of a real data from the projections of the future population for the total of the Egyptian Arabic Republic for the period 2017-2052, depending on the book which introduced from the central agency for public mobilization and statistics in Feb (2019) from this application it could be said that this distributions can be applied to mortality rate data set. The present paper can also be extended to design of progressive censoring sampling plan and other censoring schemes can also be considered.
Published in | Science Journal of Applied Mathematics and Statistics (Volume 9, Issue 2) |
DOI | 10.11648/j.sjams.20210902.12 |
Page(s) | 44-56 |
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), 2021. Published by Science Publishing Group |
Power Odd Generalized Exponential-Gompertez Distribution, Maximum Likelihood Estimation, Maximum Product Spacing, Bayesian Estimation, Metropolis-Hasting Algorithm, Mortality Rates in Egypt
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APA Style
Abeer Mohamed, Amira Elghany, Gamalat Elgabry. (2021). Estimating the Parameters of (POGE-G) Distribution and Its Application to Egyptian Mortality Rates. Science Journal of Applied Mathematics and Statistics, 9(2), 44-56. https://doi.org/10.11648/j.sjams.20210902.12
ACS Style
Abeer Mohamed; Amira Elghany; Gamalat Elgabry. Estimating the Parameters of (POGE-G) Distribution and Its Application to Egyptian Mortality Rates. Sci. J. Appl. Math. Stat. 2021, 9(2), 44-56. doi: 10.11648/j.sjams.20210902.12
AMA Style
Abeer Mohamed, Amira Elghany, Gamalat Elgabry. Estimating the Parameters of (POGE-G) Distribution and Its Application to Egyptian Mortality Rates. Sci J Appl Math Stat. 2021;9(2):44-56. doi: 10.11648/j.sjams.20210902.12
@article{10.11648/j.sjams.20210902.12, author = {Abeer Mohamed and Amira Elghany and Gamalat Elgabry}, title = {Estimating the Parameters of (POGE-G) Distribution and Its Application to Egyptian Mortality Rates}, journal = {Science Journal of Applied Mathematics and Statistics}, volume = {9}, number = {2}, pages = {44-56}, doi = {10.11648/j.sjams.20210902.12}, url = {https://doi.org/10.11648/j.sjams.20210902.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20210902.12}, abstract = {In this paper, we consider power odd generalized exponential-Gompertz (POGE-G) distribution which is capable of life tables to calculate death rates (failure). Based on simulated data from the PPOGE-G distribution, we consider the problem of estimation of parameters under classical approaches and Bayesian approaches. In this regard, we obtain maximum likelihood (ML) estimates, maximum product of spacing (MPS) and Bayes estimates under squared error loss function. We also compute 95% asymptotic confidence interval and highest posterior density interval estimates. The Monte Carlo simulation will be conduct to study and compare the performance of the various proposed estimators (simulation study indicates that the performance of MPS estimates is better MLE estimates and the performance of Bayes estimates is also better). Finally, application of a real data from the projections of the future population for the total of the Egyptian Arabic Republic for the period 2017-2052, depending on the book which introduced from the central agency for public mobilization and statistics in Feb (2019) from this application it could be said that this distributions can be applied to mortality rate data set. The present paper can also be extended to design of progressive censoring sampling plan and other censoring schemes can also be considered.}, year = {2021} }
TY - JOUR T1 - Estimating the Parameters of (POGE-G) Distribution and Its Application to Egyptian Mortality Rates AU - Abeer Mohamed AU - Amira Elghany AU - Gamalat Elgabry Y1 - 2021/03/30 PY - 2021 N1 - https://doi.org/10.11648/j.sjams.20210902.12 DO - 10.11648/j.sjams.20210902.12 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 44 EP - 56 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20210902.12 AB - In this paper, we consider power odd generalized exponential-Gompertz (POGE-G) distribution which is capable of life tables to calculate death rates (failure). Based on simulated data from the PPOGE-G distribution, we consider the problem of estimation of parameters under classical approaches and Bayesian approaches. In this regard, we obtain maximum likelihood (ML) estimates, maximum product of spacing (MPS) and Bayes estimates under squared error loss function. We also compute 95% asymptotic confidence interval and highest posterior density interval estimates. The Monte Carlo simulation will be conduct to study and compare the performance of the various proposed estimators (simulation study indicates that the performance of MPS estimates is better MLE estimates and the performance of Bayes estimates is also better). Finally, application of a real data from the projections of the future population for the total of the Egyptian Arabic Republic for the period 2017-2052, depending on the book which introduced from the central agency for public mobilization and statistics in Feb (2019) from this application it could be said that this distributions can be applied to mortality rate data set. The present paper can also be extended to design of progressive censoring sampling plan and other censoring schemes can also be considered. VL - 9 IS - 2 ER -