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Maximum Likelihood Estimation for Two Parameter Decreasing Failure Rate Distributions Using Censored Data

Sam C. Saunders

出版	Washington State University, 1980
URL	http://books.google.com.hk/books?id=2j_jNQAACAAJ&hl=&source=gbs_api

註釋

Problems of maximum likelihood estimation, for shape and scale parameters from certain decreasing hazard rate distributions which are typically mixed-exponential or work-hardened, are discussed. Sufficient conditions on the mixing distribution are given that guarantee regular behavior of the hazard rate; this ensures, even with highly censored data, that the MLE's exist whenever the sample satisfies a certain condition quite likely in samples from DHR distribution; otherwise a constant hazard rate is assumed. Some computational methods are discussed and applications made. (Author).