TY - BOOK ID - 938147 TI - Likelihood methods in statistics PY - 2000 VL - 22 SN - 0198506503 9780198506508 PB - Oxford Oxford University Press DB - UniCat KW - Mathematical statistics KW - Estimation theory KW - Estimation theory. UR - https://www.unicat.be/uniCat?func=search&query=sysid:938147 AB - 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 acillary 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 often to yield substantial improvements over classical methods. The book also provide an up-to-date account of recent results in the field, which has been undergoing rapid development. ER -