A Graduate Course on Statistical Inference
Aus der Reihe
Springer Texts in Statistics
Fr. 201.00
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
02.08.2019
Abbildungen
XII, 379 p. 148 illus.
Verlag
Springer UsSeitenzahl
379
Maße (L/B/H)
24.1/16/2.7 cm
Gewicht
700 g
Sprache
Englisch
ISBN
978-1-4939-9759-6
This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.
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