Chi-squared goodness-of-fit tests for censored data
Auteur :
Nikulin, Mikhail S. / Chimitova, Ekaterina V.
Éditeur :
ISTE Ltd and John Wiley & Sons Inc
ISBN :
9781786300003
Date de publication :
6 juin 2017
Dimensions :
23,1 x 16,0 x 1,0 cm
Poids :
249 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.