Lifetime Data Anal - Optimal goodness-of-fit tests for recurrent event data.

Tópicos

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Resumo

A class of tests for the hypothesis that the baseline intensity belongs to a parametric class of intensities is given in the recurrent event setting. Asymptotic properties of a weighted general class of processes that compare the non-parametric versus parametric estimators for the cumulative intensity are presented. These results are given for a sequence of Pitman alternatives. Test statistics are proposed and methods of obtaining critical values are examined. Optimal choices for the weight function are given for a class of chi-squared tests. Based on Khmaladze's transformation we propose distributional free tests. These include the types of Kolmogorov-Smirnov and Cram?r-von Mises. The tests are used to analyze two different data sets.

Resumo Limpo

class test hypothesi baselin intens belong parametr class intens given recurr event set asymptot properti weight general class process compar nonparametr versus parametr estim cumul intens present result given sequenc pitman altern test statist propos method obtain critic valu examin optim choic weight function given class chisquar test base khmaladz transform propos distribut free test includ type kolmogorovsmirnov cramrvon mise test use analyz two differ data set

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