Maximum Likelihood Estimation for Non-Linear Failure Rate & Progressive Censored Samples

Document Type : Original Article

Author

Faculty of Commerce, Zagazig University, Egypt

Abstract

The problem of maximum likelihood estimation of the three unknown parameters of a non-linear failure rate is discussed using progressive censored type II samples. Maximum likelihood estimates and their approximate asymptotic variance covariance matrix are derived. Some earlier results may be considered as special cases from the present results. Numerical illustration using a numerical example and computer facilities is carried out.

Keywords