On reliability estimation for the exponential distribution based on Monte Carlo simulation

Joint Authors

Taha, Taha Anwar
Salman, Abbas Najim

Source

مجلة ابن الهيثم للعلوم الصرفة و التطبيقية

Publisher

University of Baghdad College of Education for Pure Science / Ibn al-Haitham

Publication Date

2017-12-31

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Mathematics

English Abstract

This Research deals with estimation the reliability function for two-parameters Exponential distribution, using different estimation methods ; Maximum likelihood, Median-First Order Statistics, Ridge Regression, Modified Thompson-Type Shrinkage and Single Stage Shrinkage methods.

Comparisons among the estimators were made using Monte Carlo Simulation based on statistical indicter mean squared error (MSE) conclude that the shrinkage method perform better than the other methods

Data Type

Conference Papers

Record ID

BIM-851617

American Psychological Association (APA)

Salman, Abbas Najim& Taha, Taha Anwar. 2017-12-31. On reliability estimation for the exponential distribution based on Monte Carlo simulation. International Conference on Biology, Chemistry, Computer Science, Mathematics, and Physics, will take place (2017 : Ibn Al Haitham University of Baghdad, Iraq). . Special issue (2017), pp.409-419.Baghdad Iraq : University of Baghdad College of Education for Pure Science / Ibn al-Haitham.
https://search.emarefa.net/detail/BIM-851617

Modern Language Association (MLA)

Salman, Abbas Najim& Taha, Taha Anwar. On reliability estimation for the exponential distribution based on Monte Carlo simulation. . Baghdad Iraq : University of Baghdad College of Education for Pure Science / Ibn al-Haitham. 2017-12-31.
https://search.emarefa.net/detail/BIM-851617

American Medical Association (AMA)

Salman, Abbas Najim& Taha, Taha Anwar. On reliability estimation for the exponential distribution based on Monte Carlo simulation. . International Conference on Biology, Chemistry, Computer Science, Mathematics, and Physics, will take place (2017 : Ibn Al Haitham University of Baghdad, Iraq).
https://search.emarefa.net/detail/BIM-851617