Parameters Estimation Based on Progressively Censored Data from Inverse Weibull Distribution
American Journal of Theoretical and Applied Statistics
Volume 2, Issue 6, November 2013, Pages: 149-153
Received: Sep. 4, 2013; Published: Sep. 30, 2013
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Mostafa M. MohieEl-Din, Dept. of Mathematics, Faculty of Science, Al-Azhar University, Egypt
Fathy H. Riad, Dept. of Mathematics, Faculty of Science, Minia University, Egypt
Mohamed A. El-Sayed, Dept. of Mathematics, Faculty of Science in Qena, South Valley University, Egypt; Dept of CS, CIT College, Taif University, KSA
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In this article, our main aim is to investigate the parameters estimation of inverse Weibull distribution in the frame work of progressively type II. We consider the censored sample from a two parameters inverse Weibull. The point estimators of the parameters derived by using the maximum likelihood method. The exact joint confidence region and confidence interval for the parameters are obtained. A numerical example is provided to illustrate the proposed. estimation methods developed here.
Joint Confidence Region, Maximum Likelihood Estimator, Progressively Type II Censored Sample, Confidence Interval
To cite this article
Mostafa M. MohieEl-Din, Fathy H. Riad, Mohamed A. El-Sayed, Parameters Estimation Based on Progressively Censored Data from Inverse Weibull Distribution, American Journal of Theoretical and Applied Statistics. Vol. 2, No. 6, 2013, pp. 149-153. doi: 10.11648/j.ajtas.20130206.11
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