2010•Shuxue de shijian yu renshiRequires access

The Maximum Likelihood Estimation with the Order Statistics

Bo Zhong

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Abstract

In this paper,a class of parameter space restricted by the sample maximum likelihood estimation problem is discussed.The corresponding relationship is considered between non-zero region in distribution of a random variable and the domain of likelihood function.The paper proposed that no matter the likelihood equation is solvable or not,if the distribution of non-zero region affected by parameter restrictions,the maximum likelihood estimation of parameters related to the order statistics X_((n)) or X_((1)) inevitably.This maximum likelihood estimation has three cases:equal,not equal or possible equal to the order statistics,and gives the corresponding Criterion.Finally,it is obtained that under the possible equal case,the likelihood estimation is X_((n)) or X_((1)) depends on the sample observations.

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What this paper is about

In this paper,a class of parameter space restricted by the sample maximum likelihood estimation problem is discussed.The corresponding relationship is considered between non-zero region in distribution of a random variable and the domain of likelihood function.The paper proposed that no matter the likelihood equation is solvable or not,if the distribution of non-zero region affected by parameter restrictions,the maximum likelihood estimation of parameters related to the order statistics X_((n)) or X_((1)) inevitably.This maximum likelihood estimation has three cases:equal,not equal or possible equal to the order statistics,and gives the corresponding Criterion.Finally,it is obtained that under the possible equal case,the likelihood estimation is X_((n)) or X_((1)) depends on the sample observations.

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Available abstract

In this paper,a class of parameter space restricted by the sample maximum likelihood estimation problem is discussed.The corresponding relationship is considered between non-zero region in distribution of a random variable and the domain of likelihood function.The paper proposed that no matter the likelihood equation is solvable or not,if the distribution of non-zero region affected by parameter restrictions,the maximum likelihood estimation of parameters related to the order statistics X_((n)) or X_((1)) inevitably.This maximum likelihood estimation has three cases:equal,not equal or possible equal to the order statistics,and gives the corresponding Criterion.Finally,it is obtained that under the possible equal case,the likelihood estimation is X_((n)) or X_((1)) depends on the sample observations.

Key concepts: Mathematics, Statistics, Likelihood function, Maximum likelihood, Restricted maximum likelihood, Maximum likelihood sequence estimation, Estimation theory, Order statistic

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