Buch, Englisch, Band 22, 392 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 757 g
Buch, Englisch, Band 22, 392 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 757 g
Reihe: Oxford Statistical Science Series
ISBN: 978-0-19-850650-8
Verlag: OUP Oxford
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 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 rapid
development.
