دوازدهمین کنفرانس آمار ایران , 2014-08-25

Title : ( Non-Bayesian Two-sample Prediction for progressively Type-II censored Weibull Lifetimes )

Authors: Somayeh Ghafouri , Arezou Habibirad , فاطمه یوسف زاده ,

Citation: BibTeX | EndNote

Prediction on the basis of censored data has an important role in many fields. This paper develops a non-Bayesian two-sample prediction based on a progressive Type-II right censoring scheme. We obtain the maximum likelihood (ML) prediction in the Weibull distribution. The Weibull distribution is considered to obtain the ML predictor (MLP) and the predictive ML estimators of the s-th order statistic in a future random sample (y_s) drawn independently from the parent population, for an arbitrary progressive censoring scheme. To reach this aim, we present two ML prediction methods namely the EM algorithm and the approximate ML prediction. We compare the performances of the different methods of ML prediction by Monte Carlo simulation with respect to biases and mean square prediction errors (MSPEs) of the MLPs of Y_s.

Keywords

, Approximate maximum likelihood prediction, EM algorithm; Maximum likelihood prediction, Mean square prediction error, Progressive Type-II right censoring scheme, Two-sample
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1043037,
author = {Ghafouri, Somayeh and Habibirad, Arezou and فاطمه یوسف زاده},
title = {Non-Bayesian Two-sample Prediction for progressively Type-II censored Weibull Lifetimes},
booktitle = {دوازدهمین کنفرانس آمار ایران},
year = {2014},
location = {کرمانشاه, IRAN},
keywords = {Approximate maximum likelihood prediction; EM algorithm; Maximum likelihood prediction; Mean square prediction error; Progressive Type-II right censoring scheme; Two-sample prediction.},
}

[Download]

%0 Conference Proceedings
%T Non-Bayesian Two-sample Prediction for progressively Type-II censored Weibull Lifetimes
%A Ghafouri, Somayeh
%A Habibirad, Arezou
%A فاطمه یوسف زاده
%J دوازدهمین کنفرانس آمار ایران
%D 2014

[Download]