Inference on in the Two-Parameter Weibull Model Based on Records | Zendy

Ayman Baklizi | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Inference on in the Two-Parameter Weibull Model Based on Records

Author(s) -

Ayman Baklizi

Publication year - 2012

Publication title -

isrn probability and statistics

Language(s) - English

Resource type - Journals

eISSN - 2090-472X

pISSN - 2090-4711

DOI - 10.5402/2012/263612

Subject(s) - statistics , confidence interval , estimator , mean squared error , weibull distribution , mathematics , maximum likelihood , bayes' theorem , inference , reliability (semiconductor) , bayesian probability , computer science , artificial intelligence , power (physics) , physics , quantum mechanics

We consider the stress-strength reliability based on record values from the Weibull distribution. The Bayes estimator based on squared error loss and the maximum likelihood estimator are derived and their bias and mean squared error performance are studied. Likelihood-based confidence intervals as well as some bootstrap intervals are developed. We derived also the highest posterior density interval. Simulation studies are conducted to investigate and compare the performance of the estimators and intervals.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research