Likelihood Methods in Statistics (Oxford Statistical Science Series)

"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 is often based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown to often 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 rapid development."--Jacket.

שנה

2000

שפה

English

סדרה

Oxford Statistical Science

הוצאה

Oxford University Press, USA

מהדורות

1

עמודים

392

ISBN

9780198506508

מקור הנתונים: Wikidata