摘要：Goodness-of-fit (GOF) techniques are used for assessment whether a distributionis suitable to describe a data set or not. These techniques havebeen studied for distributions belonging to the location-scale family. However,one could be interested in making this assessment for distributions thatdo not belong to this family. We review the available GOF tests and proposegraphical tools based on these tests for censored and uncensored datafrom non-location-scale distributions. Anderson-Darling, Cramér-von Mises,Kolmogorov-Smirnov, Kuiper, Michael and Watson GOF statistics are considered.We apply the proposed results to real-world data sets to illustratetheir potential, with emphasis on some Birnbaum-Saunders distributions.
关键词：Estadística;Censored Data; Confidence Band; Data Analysis; Probability Plots
