| 书目名称 | Progressive Censoring | | 副标题 | Theory, Methods, and | | 编辑 | N. Balakrishnan,Rita Aggarwala | | 视频video | | | 丛书名称 | Statistics for Industry and Technology | | 图书封面 |  | | 描述 | Censored sampling arises in a life-testing experiment whenever the experimenter does not observe (either intentionally or unintentionally) the failure times of all units placed on a life-test. Inference based on censored sampling has been studied during the past 50 years by numerous authors for a wide range of lifetime distributions such as normal, exponential, gamma, Rayleigh, Weibull, extreme value, log-normal, inverse Gaussian, logistic, Laplace, and Pareto. Naturally, there are many different forms of censoring that have been discussed in the literature. In this book, we consider a versatile scheme of censoring called progressive Type-II censoring. Under this scheme of censoring, from a total of n units placed on a life-test, only m are completely observed until failure. At the time of the first failure, Rl of the n - 1 surviving units are randomly withdrawn (or censored) from the life-testing experiment. At the time of the next failure, R2 of the n - 2 -Rl surviving units are censored, and so on. Finally, at the time of the m-th failure, all the remaining Rm = n - m -Rl - . . . - Rm-l surviving units are censored. Note that censoring takes place here progressively in m stages. | | 出版日期 | Book 2000 | | 关键词 | Censoring; Likelihood; Norm; Normal distribution; Simulation; Variance; censored samples; life testing; prog | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-1334-5 | | isbn_softcover | 978-1-4612-7099-7 | | isbn_ebook | 978-1-4612-1334-5Series ISSN 2364-6241 Series E-ISSN 2364-625X | | issn_series | 2364-6241 | | copyright | Springer Science+Business Media New York 2000 |
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发表于 2025-3-21 16:45:23
