Librería: Fox and Tome Booksellers, Frederick, MD, Estados Unidos de America
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Añadir al carritoHardback. 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! --- A graduate-level treatment of statistical estimation and hypothesis testing by Bing Li and G. Jogesh Babu, published by Springer in 2019 as part of the Springer Texts in Statistics series. The volume integrates finite-sample results, asymptotic methods, and Bayesian approaches, applying a consistent framework of assumptions and analytical tools across topics. A dedicated chapter on estimating equations brings together related techniques such as generalized linear models, quasi-likelihood, generalized estimating equations, and conditional inference. The text is intended for doctoral students and researchers seeking a unified foundation in modern inferential theory.
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 175,09
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Añadir al carritoBuch. 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 255,02
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Añadir al carritoHardcover. Condición: Brand New. 379 pages. 9.75x6.50x1.00 inches. In Stock.
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Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc., 2019
ISBN 10: 1493997599 ISBN 13: 9781493997596
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 167,45
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Librería: moluna, Greven, Alemania
EUR 141,30
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Springer, Humana Aug 2019, 2019
ISBN 10: 1493997599 ISBN 13: 9781493997596
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 171,19
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Añadir al carritoBuch. 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.
Idioma: Inglés
Publicado por Springer, Humana Aug 2019, 2019
ISBN 10: 1493997599 ISBN 13: 9781493997596
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 171,19
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Añadir al carritoBuch. 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 244,73
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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