SHRINKAGE ESTIMATION METHOD OF PARAMETER WEIBULL DISTRIBUTION
Journal: International Journal of Applied Mathematics & Statistical Sciences (IJAMSS) (Vol.5, No. 5)Publication Date: 2016-09-14
Authors : HADEEL SALIM ALKUTUBI;
Page : 9-14
Keywords : Weibull Distribution; Shrinkage Estimator; Bayes Estimator; Maximum Likelihood Estimator; Simulation;
Abstract
Consider the Weibull distribution. The parameters of this distribution are estimated by the maximum likelihood method and Bayes method. In this study we present shrinkage estimator between maximum likelihood and Bayes estimators that make mean square error (MSE) less than other standard method. Using linear combination between maximum likelihood method and Bayes method to obtain a new estimator then simulation study will used to compare between shrinkage estimator, Maximum likelihood estimator and Bayes estimator to find the best (less mean square error) with different sample size and Mathlab program.
Other Latest Articles
- STABILITY ANALYSIS OF A DELAYED SIR MODEL WITH NONLINEAR INCIDENCE RATE
- STRATEGIC HUMAN RESOURCES MANAGEMENT AND ORGANIZATIONAL EFFECTIVENESS IN NIGERIA
- A STUDY ON GREEN MARKETING INTERVENTION STRATEGIES AND SUSTAINABLE DEVELOPMENT
- CREDIT RATIONING AND REPAYMENT PERFORMANCE (PROBLEMS) IN THE CASE OF AMBO WOREDA ESHET MICROFINANCE INSTITUTION
- A REVIEW ON HARDFACING AND WEAR REDUCING TECHNIQUES ON INDUSTRIAL VALVES
Last modified: 2016-09-14 21:15:26