Nonparametric Tests for Complete Data

✍ Scribed by Vilijandas Bagdonavi?us, Julius Kruopis, Mikhail Nikulin

Publisher: Wiley-ISTE
Year: 2011
Tongue: English
Leaves: 321
Series: ISTE
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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