Nonparametric Tests for Complete Data - Vilijandas Bagdonavicius,Mikhail S Nikulin,Julius Kruopis
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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.
Description
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.
More Information
| Author | Vilijandas Bagdonavicius, Mikhail S Nikulin, Julius Kruopis |
|---|---|
| Publisher | Wiley |
| Release year | 2011 |
| Cover type | Hardcover |
| EAN | 9781848212695 |