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2009•Journal of Fuyang Teachers CollegeRequires access

Parameter estimation of logarithmic normal distribution with one parameter under type I censoring sample with missed data

Tong Guo

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Abstract

In this paper,we discuss the parameter estimation of logarithmic normal distribution with one parameter under Type I Cemsoring Sample with missed data,and we use the maximum likelihood to estimate and as a result we get the estimation of the parameter.

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What this paper is about

In this paper,we discuss the parameter estimation of logarithmic normal distribution with one parameter under Type I Cemsoring Sample with missed data,and we use the maximum likelihood to estimate and as a result we get the estimation of the parameter.

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Available abstract

In this paper,we discuss the parameter estimation of logarithmic normal distribution with one parameter under Type I Cemsoring Sample with missed data,and we use the maximum likelihood to estimate and as a result we get the estimation of the parameter.

Key concepts: Censoring (clinical trials), Logarithm, Estimation theory, Statistics, Maximum likelihood, Mathematics, Sample (material), Estimation

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