Grouped Progressively Censored Sampling in the Generalized Gumbel Distribution

Document Type : Original Article

Author

Faculty of Commerce, Mansoura University

Abstract

This paper is concerned with the maximum likelihood estimation problem for the unknown parameter of the generalized Gumbel distribution using progressive Type-I interval censoring, analogous results using grouped censoring sampling will be obtained. An illustrative numerical example will be presented.
 

Keywords