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A Graduate Course on Statistical Inference (Springer Texts in Statistics)
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- ¡Cómpralo ya!A Graduate Course on Statistical Inference (Springer Texts in Statistics)
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Ubicado en: Frederick, Maryland, Estados Unidos
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Entrega prevista entre el jue. 6 nov. y el mié. 12 nov. a 94104
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N.º de artículo de eBay:267451421548
Características del artículo
- Estado
- ISBN
- 1493997599
- ISBN10
- 1493997599
- ISBN13
- 9781493997596
- EAN
- 9781493997596
- MPN
- does not apply
- Brand
- Springer
- GTIN
- 09781493997596
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Product Identifiers
Publisher
Springer New York
ISBN-10
1493997599
ISBN-13
9781493997596
eBay Product ID (ePID)
15038374457
Product Key Features
Number of Pages
Xii, 379 Pages
Language
English
Publication Name
Graduate Course on Statistical Inference
Subject
Probability & Statistics / General
Publication Year
2019
Type
Textbook
Subject Area
Mathematics
Series
Springer Texts in Statistics Ser.
Format
Hardcover
Dimensions
Item Weight
26.5 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Reviews
"This is a very nice and readable graduate level textbook of theoretical statistics. ... The book is intended to be used as either a one- or a two-semester textbook of statistical inference for graduate level students, but it can also be of use to a wider group of readers interested in theoretical statistics." (Zuzana Prásková, Mathematical Reviews, August, 2020)
TitleLeading
A
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
1. Probability and Random Variables.- 2. Classical Theory of Estimation.- 3. Testing Hypotheses in the Presence of Nuisance Parameters.- 4. Testing Hypotheses in the Presence of Nuisance Parameters.- 5. Basic Ideas of Bayesian Methods.- 6. Bayesian Inference.- 7. Asymptotic Tools and Projections.- 8. Asymptotic Theory for Maximum Likelihood Estimation.- 9. Estimating Equations.- 10. Convolution Theorem and Asymptotic Efficiency.- 11. Asymptotic Hypothesis Test . - References.- Index.
Synopsis
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.
LC Classification Number
QA276-280
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- k***2 (4)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificada12 large volumes neatly packaged, was by far the best value for money. Books were as described and not even a page is missing 😁😁. Highly recommend 👌
- r***9 (1810)- Votos emitidos por el comprador.Mes pasadoCompra verificadaThanks for quality packaging of great value item. Appearance is exceptional and condition as described. AAA+++SELLER!
- o***7 (247)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaArrived quickly, marched description, good packaging.
Particular Things
99,4% de votos positivos•2,2 mil artículos vendidos
Registrado como vendedor profesional
Votos de vendedor (780)
- k***2 (4)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificada12 large volumes neatly packaged, was by far the best value for money. Books were as described and not even a page is missing 😁😁. Highly recommend 👌
- r***9 (1810)- Votos emitidos por el comprador.Mes pasadoCompra verificadaThanks for quality packaging of great value item. Appearance is exceptional and condition as described. AAA+++SELLER!
- o***7 (247)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificadaArrived quickly, marched description, good packaging.