Nonparametric Tests for Complete Data

by Vilijandas Bagdonavicius, Julius Kruopis, Mikhail Nikulin

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.

320 pages, Kindle Edition

First published January 15, 2013