Isbn: 9781493997596 - a graduate course on statistical inference (springer texts in statistics) (22 resultados)

Hardback. Condición: Good. has checkmarks in pencil on several chapters, the text is not obscured, Shows minor wear to the cover and pages. The binding is fully intact and secure. This is a good reading or studying copy and has been verified that all pages are legible. 100% satisfaction guaranteed! --- Part of the Springer Texts in Statistics series, this graduate textbook of theoretical statistics is organised around three principal themes: finite-sample theory, asymptotic theory, and Bayesian statistics. A chapter on estimating equations is included as a means of unifying methodologies such as generalized linear models, generalized estimating equations, quasi-likelihood estimation, and conditional inference, and a common set of regularity conditions and tools is applied throughout. The Bayesian material treats estimation, testing, and classification, developing the prior and posterior framework from Bayes' theorem. The authors suggest modular pathways through the material - for instance, Chapters 1, 3, 4, 7, 10, and 11 for an advanced course on hypothesis testing, or Chapters 1, 2, 5, part of 6, 7, 8, and 9 for a course on point estimation and Bayesian statistics, supporting use over one or two semesters. The text grew from lecture notes for two graduate courses taught at the Pennsylvania State University. Exercise sets are provided. …

hardcover. Condición: Very Good.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: New. New. book.

Condición: New.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. …

Condición: New.

Hardcover. Condición: Brand New. 379 pages. 9.75x6.50x1.00 inches. In Stock.

Condición: New.

Condición: new. Questo è un articolo print on demand.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adapts to a one-semester or two-semester graduate course in statistical inferenceEmploys similar conditions throughout to unify the volume and clarify theory and methodologyReflects up-to-date statist.…

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 392 pp. Englisch.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch.…