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.
Aprašymas
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.
Vairāk informācijas
| Autors | Vilijandas Bagdonavicius, Mikhail S Nikulin, Julius Kruopis |
|---|---|
| Izdevējs | Wiley |
| Izlaides gads | 2011 |
| Vāka tips | Cietais vāks |
| EAN | 9781848212695 |