TSUYUGUCHI, A. B.; http://lattes.cnpq.br/0800316863717316; TSUYUGUCHI, Aline Barbosa.
Résumé:
In this work we study goodness-of-fit tests for Birnbaum-Saunders distribution.
We consider classical tests based on empirical distribution function (Anderson-Darling,
Cramér-von Mises e Kolmogorov-Sminorv) and based on empirical characteristic function.
We limited this study to the case in which the vector of parameters is unknown
and, therefore, must be estimated. We present the simulation studies to verify the
performance of the test statistics in study. Also, we propose simulation studies of
Monte Carlo for goodness-of-fit test for Birnbaum-Saunders distribution using Type-II
censored data.