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作者：MING, GG; TZE, LL
作者单位：Stanford University
摘要：A general weak convergence theory is developed for time-sequential censored rank statistics in the two-sample problem of comparing time to failure between two treatment groups, such as in the case of a clinical trial in which patients enter serially and, after being randomly allocated to one of two treatments, are followed until they fail or withdraw from the study or until the study is terminated. Applications of the theory to time-sequential tests based on these censored rank statistics are ...
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作者：COX, DD; LLATAS, I
作者单位：Simon Bolivar University
摘要：The nearly nonstationary first-order autoregression is a sequence of autoregressive processes y(n)(k + 1) = phi-n y(n)(k) + epsilon(k + 1), 0 less-than-or-equal-to k less-than-or-equal-to n, where the epsilon(k)'s are iid mean zero shocks and the autoregressive coefficient phi-n = 1 - beta/n for some beta > 0, so that phi-n --> 1 as n --> infinity. We consider a class of maximum likelihood type estimators called M estimators, which are not necessarily robust. The estimates are obtained as the ...
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作者：VOS, PW
摘要：Amari's dual geometries are used to study measures of influence in exponential family regression. The dual geometries are presented as a natural extension of the Euclidean geometry used for the normal regression model. These geometries are then used to extend Cook's distance to generalized linear models and exponential family regression. Some of these extensions lead to measures already considered while other extensions lead to new measures of influence. The advantages of one of these new meas...
