Likelihood Methods in Statistics, Hardback Book

Description

This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely related approximations that generally have very high accuracy. A third aspect is that, for models with nuisance parameters, inference isoften based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown often to yield substantial improvements over classical methods. The book also provides an up-to-date account of recent results in the field, which has been undergoing rapiddevelopment.

Information

  • Format: Hardback
  • Pages: 392 pages
  • Publisher: Oxford University Press
  • Publication Date:
  • Category: Probability & statistics
  • ISBN: 9780198506508

£120.00

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Also in the Oxford Statistical Science Series series   |  View all