| A Graduate Course on Statistical Inference 2019 Edition Contributor(s): Li, Bing (Author), Babu, G. Jogesh (Author) |
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ISBN: 1493997599 ISBN-13: 9781493997596 Publisher: Springer OUR PRICE: $151.99 Product Type: Hardcover Published: August 2019 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General |
| Dewey: 519.5 |
| Series: Springer Texts in Statistics |
| Physical Information: 0.88" H x 6.14" W x 9.21" (1.59 lbs) 379 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |