Affiliations: Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami, FL 33199, USA. E-mail: [email protected]
Abstract: The lifetime data may be modeled as generalized Rayleigh model. Recently, the authors Raqab and Kundu  described this model with several properties. Kundu and Raqab  considered different methods of estimation and compared their performance. In this paper, the likelihood function for the parameter given a type II censored sample from the two-parameter generalized Rayleigh model is derived. The posterior density function, the predictive density for a single future response, a bivariate future response, and several future responses are derived. Predictive raw moments, corrected moments, and the shape characteristics for a single future response are obtained. A real data set used by Al-khedhairi et al.  is considered to illustrate the predictive results.