Interval Estimation for the Pareto Distribution Based on the Progressive Type Type II Censored Data
Feng Li
Abstract
Feng Li
Abstract
The interval estimation of the parameter θ and the joint confidence region of the two parameters of Pareto distribution based on the progressive type Ⅱ censored are proposed.Finally,the statistical performances of the three methods are compared to by obtaining a smaller confidence area based on Monte-Carlo simulation study.
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The interval estimation of the parameter θ and the joint confidence region of the two parameters of Pareto distribution based on the progressive type Ⅱ censored are proposed.Finally,the statistical performances of the three methods are compared to by obtaining a smaller confidence area based on Monte-Carlo simulation study.
Key concepts: Pareto principle, Confidence interval, Monte Carlo method, Pareto distribution, Lomax distribution, Statistics, Pareto interpolation, Type (biology)