A bayesian approach to inference for monotone failure rates

Thomas A. Mazzuchi; Nozer D. Singpurwalla

doi:10.1016/0167-7152(85)90051-3

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A bayesian approach to inference for monotone failure rates

Thomas A. Mazzuchi Nozer D. Singpurwalla

Year: 1985 Journal: Statistics & Probability Letters Vol: 3 (3)Pages: 135-141 Publisher: Elsevier BV

DOI: 10.1016/0167-7152(85)90051-3

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Keywords:

Mathematics Monotonic function Censoring (clinical trials) Monotone polygon Inference Dirichlet distribution Failure rate Interval (graph theory) Posterior probability Bayesian inference Statistics Bayesian probability Applied mathematics Computer science Combinatorics Artificial intelligence

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Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

A bayesian approach to inference for monotone failure rates

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