引入一种新的线性危害率函数参数估计

Lekaa Ali Mohamed
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引用次数: 0

摘要

本文讨论了线性危险(风险)函数{}的参数()的四个估计量。其中两种是混合估计器,混合估计器依赖于订单记录数据。另外两种方法分别是利用Newton Raphson方法进行数值求解的极大似然法和基于最小二乘法原理的白色估计法。()之间的比较,通过模拟实验对选择的不同样本量进行了比较,重复为()。统计测量均方误差(MSE)用于比较。对于所选参数的不同集合,所有结果都通过表格进行解释。关键词:风险率{},最大似然,OLS,建议方法,均方误差(MSE)。
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Introducing a New Estimators of Parameters of Linear Hazard Rate Function
This paper deals with introducing four estimators of parameters ( ), for linear hazard (risk) function { }. Two consist of the proposed which are mixed estimators, and the proposed estimator depend on order record data. While the two other methods, include maximum likelihood method which are solved numerically, using Newton Raphson method, and last method is white estimators depend on principle of least square's method. The comparison between ( ), has been done through simulation experiment for different sample size chosen and replicate is ( ). The statistical measure mean square error (MSE) is used for comparison. All results are explained through tables, for different sets of chosen parameters. Keyword: Hazard rate { }, maximum likelihood, OLS, proposed method, mean square error (MSE).
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