基于蒙特卡罗仿真的指数分布可靠性估计

Ibn Al-Haitham Journal For Pure And Applied Science Pub Date : 2018-04-25 DOI:10.30526/2017.ihsciconf.1814

A. N. Salman, T. A. Taha

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引用次数: 4

摘要

采用不同的估计方法对双参数指数分布的可靠度函数进行了估计;最大似然、中位一阶统计、岭回归、修正汤普森型收缩和单阶段收缩方法。基于统计指标均方误差(mean squared error, MSE)的蒙特卡罗模拟方法对各估计方法进行了比较，得出收缩法的性能优于其他方法的结论

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On Reliability Estimation for the Exponential Distribution Based on Monte Carlo Simulation

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

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Ibn Al-Haitham Journal For Pure And Applied Science

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