Chi-squared Goodness-of-fit Tests for Censored Data (ePub)
(Sprache: Englisch)
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...
sofort als Download lieferbar
eBook (ePub)
139.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Chi-squared Goodness-of-fit Tests for Censored Data (ePub)“
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. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations. This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.
Autoren-Porträt von Mikhail Nikulin, Ekaterina V. Chimitova
Mikhail S. Nikulin, University Victor Segalen, France.
Bibliographische Angaben
- Autoren: Mikhail Nikulin , Ekaterina V. Chimitova
- 2017, 1. Auflage, 158 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1119427630
- ISBN-13: 9781119427636
- Erscheinungsdatum: 29.06.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 11 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Chi-squared Goodness-of-fit Tests for Censored Data"
0 Gebrauchte Artikel zu „Chi-squared Goodness-of-fit Tests for Censored Data“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Chi-squared Goodness-of-fit Tests for Censored Data".
Kommentar verfassen