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The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics) John D. Kalbfleisch Ross L. Prentice
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A major theme of the statistical problems in survival analysis is to study the distribution of a failure time , based on possibly censored data from either a homogeneous population or a regression model with covariates. Prentice (1980): The Statistical Analysis of Failure. The survival function of is , where and . The Statistical Analysis of Failure Time Data (Wiley Series in Probability and Statistics). Clearly, is a nonincreasing left-continuous function of with and . Or trait will be favoured by selection when r*B>C, where C is the fitness cost to the actor, B is the fitness benefit to the recipient and r is the coefficient of genetic relatedness – the probability that two individuals share the same genes by descent [1]. A History of Probability and Statistics and Their Applications before 1750 (Wiley Series in Probability and Statistics) By Anders Hald Publisher: Wiley-Interscience Number Of Pages: 608. 79.Bayesian Statistics and Marketing 80.Statistical Shape Analysis 81.Nonparametric Statistics with Applications to Science and Engineering 82.Longitudinal Data Analysis 83.Regression Models for Time Series Analysis 84. For distantly related kin, the level of emotional closeness mediated this relationship - when emotional closeness was controlled for, there was no effect of genetic relatedness on travel time. Raftery (1995): “Bayes factors,” Journal of the American Sta- tistical Association, 90, 773–795. Job Durations with Worker and Firm Specific. Effects: MCMC Estimation with Longitudinal. ISSN: 1380-7870 (print version) ISSN: 1572-9249 (electronic version). Forschungsinstitut 92(2), 261–278. ISRN Probability and Statistics Volume 2012 (2012), Article ID 832175, 42 pages doi:10.5402/2012/832175. An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data. The Statistical Analysis of Failure Time Data .