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书目名称Probability, Statistics and Modelling in Public Health影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0756983<br><br> <br><br>书目名称Probability, Statistics and Modelling in Public Health读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0756983<br><br> <br><br>Granular 发表于 2025-3-21 21:18:00
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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 usuaNOMAD 发表于 2025-3-22 17:28:43
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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