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Forventes på lager: 06-06-2017
This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten.
| Forlag | ISTE Ltd and John Wiley & Sons Inc |
| Forfattere | Mikhail S. (Universite Victor Segalen Nikulin, Ekaterina V. (Novosibirsk State Technical University Chimitova |
| Type | Bog |
| Format | Paperback / softback |
| Sprog | Engelsk |
| Udgivelsesdato | 06-06-2017 |
| Første udgivelsesår | 2017 |
| Originalsprog | United Kingdom |
| Sideantal | 158 |
| Indbinding | Paperback / softback |
| Forlag | ISTE Ltd and John Wiley & Sons Inc |
| Sideoplysninger | 158 pages |
| Mål | 231 x 160 x 10 |
| ISBN-13 / EAN-13 | 9781786300003 |