A Comparison of Estimation Methods for Weibull Distribution and Type I Censoring

와이블 분포와 정시중단 하에서의 MLE와 LSE의 정확도 비교

  • Received : 2010.06.23
  • Accepted : 2010.11.24
  • Published : 2010.12.31

Abstract

In this paper, two estimation methods(least square estimation and maximum likelihood estimation) were compared for Weibull distribution and Type I censoring. Data obtained by Monte Carlo simulation were analyzed using two estimation methods and analysis results were compared by MSE(Mean Squared Error). Comparison results show that maximum likelihood estimator is better for censored data and complete data with more than 30 samples and least square estimator is better for small size complete data(less than and equal to 20 samples).

Keywords

References

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