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Titlebook: Probability, Statistics and Modelling in Public Health; Mikhail Nikulin,Daniel Commenges,Catherine Huber Conference proceedings 2006 Sprin

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書目名稱Probability, Statistics and Modelling in Public Health
編輯Mikhail Nikulin,Daniel Commenges,Catherine Huber
視頻videohttp://file.papertrans.cn/757/756983/756983.mp4
概述Marks the advances of statistical methods in public health.Includes supplementary material:
圖書封面Titlebook: Probability, Statistics and Modelling in Public Health;  Mikhail Nikulin,Daniel Commenges,Catherine Huber Conference proceedings 2006 Sprin
描述.Probability, Statistics and Modelling in Public Health. consists of refereed contributions by expert biostatisticians that discuss various probabilistic and statistical models used in public health. Many of them are based on the work of Marvin Zelen of the Harvard School of Public Health. Topics discussed include models based on Markov and semi-Markov processes, multi-state models, models and methods in lifetime data analysis, accelerated failure models, design and analysis of clinical trials, Bayesian methods, pharmaceutical and environmental statistics, degradation models, epidemiological methods, screening programs, early detection of diseases, and measurement and analysis of quality of life.
出版日期Conference proceedings 2006
關(guān)鍵詞Estimator; Likelihood; Radiologieinformationssystem; Truncated Data; best fit; data analysis; statistics
版次1
doihttps://doi.org/10.1007/b136588
isbn_softcover978-1-4419-3856-5
isbn_ebook978-0-387-26023-5
copyrightSpringer-Verlag US 2006
The information of publication is updating

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Mortality in Varying Environment,ing comparison with a baseline environment. This model describes the memory-less property, when the mortality rate at a given instant of time depends only on the environment at this instant of time and does not depend on the history. In the presence of degradation the assumption of this kind is usua
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Estimation Of Density For Arbitrarily Censored And Truncated Data,elihood estimation of the distribution function in this case, which has been used since by many authors. But, to our knowledge, the consistency of the resulting estimate was never proved. We prove here the consistency of Turnbull’s NPMLE under appropriate conditions on the involved distributions: th
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