Bing Li

A Graduate Course on Statistical Inference

Ebook (PDF Format)

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… Mehr

CHF 100.50

Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)

Versandfertig innerhalb 1-3 Werktagen
Versandkostenfrei

Produktdetails

Weitere Autoren: Babu, G. Jogesh

ISBN: 978-1-4939-9761-9
EAN: 9781493997619
Produktnummer: 32287823
Verlag: Springer-Verlag GmbH
Sprache: Englisch
Erscheinungsjahr: 2019
Seitenangabe: 379 S.
Plattform: PDF
Masse: 4'954 KB
Auflage: 1st ed. 2019
Abbildungen: 148 schwarz-weiße Abbildungen, Bibliographie

Über den Autor

Bing Li is Verne M. Wallaman Professor of Statistics at Pennsylvania State University. He is the author of Sufficient Dimension Reduction: Methods and Applications with R (2018). Dr. Li has served as an associate editor for The Annals of Statistics and is currently serving as an associate editor for Journal of the American Association.G. Jogesh Babu is a distinguished professor of statistics, astronomy, and astrophysics, as well as director of the Center for Astrostatistics, at Pennsylvania State University. He was the 2018 winner of the Jerome Sacks Award for Cross-Disciplinary Research. He and his colleague Dr. E.D. Feigelson coined the term astrostatistics, when they co-authored a book by the same name in 1996. Dr. Babu's numerous publications also include Statistical Challenges in Modern Astronomy V (with Feigelson, Springer 2012) and Modern Statistical Methods for Astronomy with R Applications (2012).