Nonparametric control charts are presented in order to figure out the problem of detecting changes in the process median (or mean)‎, ‎or changes in the variability process where there is limited knowledge regarding the underlying process‎. ‎When observations are reported imprecise‎, ‎then it is impossible to use classical nonparametric control charts‎. ‎This paper is devoted to the problem of c...

Discovering promising research themes in a scientific domain by evaluating semantic information extracted from bibliometric databases represents challenging task for Natural Language Processing (NLP). While existing NLP methods generally characterize the topics using unique key terms, we take step further more accurately modeling as finite sets of terms. The proposed approach involves two stage...

Increases in computing power have enabled Monte Carlo simulations to become increasingly common in contemporary statistical practice. Some applications require specialized statistical software while others can be implemented with general multipurpose statistical programs. Simulations of the power of statistical tests—the probability of rejecting the null hypothesis when it is false—are among th...

The problems of application of nonparametric Kolmogorov, Cramer-von MisesSmirnov, Anderson-Darling goodness-of-fit tests for discrete, grouped and censored data have been considered in this paper. The use of these tests for grouped and censored data as well as samples of discrete random variables is based on Smirnov transformation. The convergence of statistic distributions to the corresponding...