Chi-squared Goodness-of-fit Tests for Censored Data
Chi-squared Goodness-of-fit Tests for Censored Data
- ISBN 13:
9781786300003
- ISBN 10:
1786300001
- Edition: 1st
- Format: Paperback
- Copyright: 08/07/2017
- Publisher: Wiley-ISTE
List Price $189.81 Save
TERM | PRICE | DUE |
---|---|---|
Free Shipping Both Ways
Highlight/Take Notes Like You Own It
Purchase/Extend Before Due Date
List Price $189.81 Save $1.89
Usually Ships in 3-4 Business Days
We Buy This Book Back!
Free Shipping On Every Order
Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
Extend or Purchase Your Rental at Any Time
Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.
Summary
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.