Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics. Anthony Davison blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practicioners. Its comprehensive coverage makes this the standard text and reference in the subject.
"synopsis" may belong to another edition of this title.
Models and likelihood are the backbone of modern statistics and data analysis. Anthony Davison here blends theory and practice to provide an integrated text for advanced undergraduate and graduate students, researchers and practitioners. The coverage is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics. This combination will ensure that this becomes the standard text and reference in the subject.
Anthony Davison is a Professor of Statistics at the Ecole Polytechnique Federale de Lausanne.
"About this title" may belong to another edition of this title.
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Hardcover. Condition: New. No Jacket. 1st Edition. This is a new hardcover first edition copy, slick blue binding, no DJ, 726 pages with index. Seller Inventory # 103930
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00101509612
Seller: Book House in Dinkytown, IOBA, Minneapolis, MN, U.S.A.
Hardcover. Condition: Good+. Dust Jacket Condition: No Dust Jacket. First Edition. Good+ hardcover copy. Previous owner's name in ink on inside of front cover, about a dozen pages with pencil markings (out of over 700 pages, so vast majority is clean). Binding is tight, sturdy, and square. Exterior looks quite nice. 1st edition/printing. Ships same or next business day from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may be requested for international shipping. Seller Inventory # 336517
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Hardback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR009245796
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 1821982-n
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9780521773393_new
Quantity: Over 20 available
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New. Seller Inventory # 1821982-n
Quantity: Over 20 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9780521773393
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 652 pages. 10.50x7.25x1.75 inches. In Stock. This item is printed on demand. Seller Inventory # __0521773393
Quantity: 1 available
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. This 2003 book gives an integrated development of models and likelihood that blends theory and practice. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 738 pages, 119 tables 566 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 40. Weight in Grams: 149. . 2003. Illustrated. hardcover. . . . . Seller Inventory # V9780521773393
Quantity: Over 20 available