Research of Statistic Distributions of Nonparametric Goodness-of-Fit Tests by Large Samples
Mariia A. Semenova, Dmitry S. Khalin · 2018 XIV International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) · 2018
The paper is devoted to application of nonparametric goodness-of-fit tests in the case of large samples. The main purpose is to develop the algorithm of application of nonparametric goodness-of- fit tests in the case of large samples. The estimation of critical sample sizes for using classical nonparametric Kolmogorov, Cramer-von Mises-Smirnov and Anderson-Darling tests has been received by Monte-Carlo simulation method. The features of testing goodness-of-fit hypotheses by large samples have been described. The algorithm of application of nonparametric goodness-of-fit tests in the case of large samples has been formulated.