Nonparametric compliance criteria. A guide to application

The book is designed for specialists encountered in their activities with issues of statistical analysis of data or with the need to choose a model of the distribution law adequately describing the observed random variables. The leadership addresses the use of non-parametric consent criteria (Kolmogorov, Cooper, Cram-Mises-Smirnov, Watson, Anderson Darling, Genga) when checking simple and complex hypotheses.
The application provides tables containing percentage points and model distribution models necessary for the correct use of criteria when checking simple and, most importantly, various complex hypotheses.
Following the recommendations will ensure the correctness of statistical conclusions when analyzing data using non-parametric consent criteria.
The book will be useful to engineers, researchers, specialists of various profiles (doctors, biologists, sociologists, economists, etc), who are confronted in their activities with the need to statistical analysis of experimental results. Management will be useful to teachers of universities, graduate students and students