{"product_id":"a-graduate-course-on-statistical-inference-9781493997596","title":"A Graduate Course on Statistical Inference","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.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Bing Li,G. Jogesh Babu\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Springer\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/02\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 379\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.59lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.21h x 6.14w x 0.88d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781493997596\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003eBing Li is Verne M. Wallaman Professor of Statistics at Pennsylvania State University. He is the author of \u003ci\u003eSufficient Dimension Reduction: Methods and Applications with R \u003c\/i\u003e(2018). Dr. Li has served as an associate editor for \u003ci\u003eThe Annals of Statistics \u003c\/i\u003eand is currently serving as an associate editor for \u003ci\u003eJournal of the American Association.\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eG. Jogesh Babu is a distinguished professor of statistics, astronomy, and astrophysics, as well as director of the Center for Astrostatistics, at Pennsylvania State University. He was the 2018 winner of the Jerome Sacks Award for Cross-Disciplinary Research. He and his colleague Dr. E.D. Feigelson coined the term \"astrostatistics,\" when they co-authored a book by the same name\u003ci\u003e \u003c\/i\u003ein 1996. Dr. Babu's numerous publications also include \u003ci\u003eStatistical Challenges in Modern Astronomy\u003c\/i\u003e \u003ci\u003eV \u003c\/i\u003e(with Feigelson, Springer 2012) and \u003ci\u003eModern Statistical Methods for Astronomy with R Applications \u003c\/i\u003e(2012). \u003cp\u003e\u003c\/p\u003e\u003cbr\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45436249473139,"sku":"9781493997596","price":267.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_4961d122-366a-4551-b97e-b8da011e4643.jpg?v=1788350090","url":"https:\/\/bookstorenmore.com\/en-de\/products\/a-graduate-course-on-statistical-inference-9781493997596","provider":"Bookstore N More","version":"1.0","type":"link"}