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On nonlinear weighted errors-in-variables parameter estimation problem in the three-parameter Weibull model
DOI:10.1016/j.amc.2009.10.056.png)
摘要
En 中文
This paper is concerned with the three-parameter Weibull distribution which is widely used as a model in reliability and lifetime studies. In practice, the Weibull model parameters are not known in advance and must be estimated from a random sample. Difficulties in applying the method of maximum likelihood to three-parameter Weibull models have led to a variety of alternative approaches in the literature. In this paper we consider the non-linear weighted errors-in-variables (EIV) fitting approach. As a main result, two theorems on the existence of the EIV estimate are obtained. An illustrative example is also included. (C) 2009 Elsevier Inc. All rights reserved.
Keyword:
Three-parameter Weibull distribution
Errors-in-variables regression
Errors-in-variables estimate
Existence problem
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
机构
引用论文
Estimating the parameters of Weibull distribution using simulated annealing algorithm用模拟退火算法估计威布尔分布的参数
Partial linearization of one class of the nonlinear total least squares problem by using the inverse model function
COMPUTING
IF2.8

