On Estimating the Hazard Rate for Samples from Weighted Distributions

  • Ahmad, Ibrahim A. (Department of Statistics University of Central Florida, Orlando)
  • Published : 2000.09.01

Abstract

Data from weighted distributions appear, among other situations, when some of the data are missing or are damaged, a case that is important in reliability and life testing. The kernel method for hazard rate estimation is discussed for these data where the basic large sample properties are given. As a by product, the basic properties of the kernel estimate of the distribution function for data from weighted distribution are presented.