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A Graduate Course on Statistical Inference (Springer Texts in Statistics)
US $94.50
ApproximatelyS$ 122.92
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eBay item number:267451421548
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN
- 1493997599
- ISBN10
- 1493997599
- ISBN13
- 9781493997596
- EAN
- 9781493997596
- MPN
- does not apply
- Brand
- Springer
- GTIN
- 09781493997596
About this product
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
Item description from the seller
Seller feedback (779)
- k***2 (4)- Feedback left by buyer.Past 6 monthsVerified purchase12 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)- Feedback left by buyer.Past monthVerified purchaseThanks for quality packaging of great value item. Appearance is exceptional and condition as described. AAA+++SELLER!
- o***7 (247)- Feedback left by buyer.Past 6 monthsVerified purchaseArrived quickly, marched description, good packaging.
Seller feedback (779)
- k***2 (4)- Feedback left by buyer.Past 6 monthsVerified purchase12 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)- Feedback left by buyer.Past monthVerified purchaseThanks for quality packaging of great value item. Appearance is exceptional and condition as described. AAA+++SELLER!
- o***7 (247)- Feedback left by buyer.Past 6 monthsVerified purchaseArrived quickly, marched description, good packaging.