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The new method of sharp parameter estimation for Weibull distribution

The new method of sharp parameter estimation for Weibull distribution
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摘要 Let X<sub>1</sub>, X<sub>2</sub>, …, X<sub>n</sub> be i.i.d, with common two-parameter Weibull distribution; that is,W(x)=1-exp(-λx<sup>β</sup>), where λ】0 is scale parameter, and β】0 is sharp parameter. Weibull distribution is very important in reliability theory. How to estimate sharp parameter is the key problem in Weibull data analysis. There are many methods to estimate it, such as maximum likelihood estimation. Fang stated a method to estimate it by using properties of moments.In this note we will propose a new method by using the relation between exponential distribution moments.
作者 杨振海 佟毅
出处 《Chinese Science Bulletin》 SCIE EI CAS 1996年第20期1679-1682,共4页
基金 Project supported by the National Natural Science Foundation of China National Science Foundation of Beijng.
关键词 PARAMETER estimation GOODNESS-OF-FIT test LIMIT distribution. parameter estimation goodness-of-fit test limit distribution
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