Small area estimation di rao (34 risultati)

Hardcover. Condizione: Very Good. From the Wiley series in Survey Methodology. Front corners slightly bumped. End-papers slightly foxed but otherwise a clean copy. 8vo Pp313 Postage may vary.

Hardcover. Condizione: Fine. Second Impression. Hardback. Large 8vo. pp 256. Original publisher's illustrated laminated boards. Issued without dust jacket. ISBN: 0471413747 Neat name on front endpaper, otherwise very good indeed.

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Condizione: New. Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic. I believe that it has the potential to turn small area estimation. into a larger area of importance to both researchers and practitioners. Series: Wiley Series in Survey Methodology. Num Pages: 480 pages. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 243 x 30. Weight in Grams: 788. . 2015. 2nd Edition. Hardcover. . . . .…

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Hardcover. Condizione: Brand New. 2nd edition. 441 pages. 10.00x7.00x1.00 inches. In Stock.

Gebunden. Condizione: New. Praise for the First Edition This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic.I believe that it has the potential to turn small area estimation.into a larger area of imp.

Condizione: New. Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic. I believe that it has the potential to turn small area estimation. into a larger area of importance to both researchers and practitioners. Series: Wiley Series in Survey Methodology. Num Pages: 480 pages. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 235 x 243 x 30. Weight in Grams: 788. . 2015. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Condizione: Brand New. 280 pages. 9.18x6.12x9.21 inches. In Stock.

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Hardcover. Condizione: Near Fine. 1st Edition. 313 pages in near fine condition. Pages are clean and unmarked with black and white figures throughout. Previuos owner's signature and sticker on the fpdep. Small stamps on both paste-down endpapers. Bound in dark blue hardcovers with white titles. Boards are lightly scuffed. Lightly bumped on the corners. 1ST EDITION. NF. Book. …

Hardcover. Condizione: new. Hardcover. Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic.I believe that it has the potential to turn small area estimation.into a larger area of importance to both researchers and practitioners."Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applicationsNumerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programsNew topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series modelsA discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics. Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic. I believe that it has the potential to turn small area estimation. into a larger area of importance to both researchers and practitioners. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: Brand New. 2nd edition. 441 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years there has been substantial and growing interest in small area estimation (SAE) that is largely driven by practical demands. Here, the term 'small area' typically refers to a subpopulation or domain of interest for which a reliable direct estimate, based only on the domain-specific sample, cannot be produced due to small sample size in the domain.Keywords in SAE are 'borrowing strength'. Because there are insufficient samples from the small areas to produce reliable direct estimates, statistical methods are sought to utilize other sources of information to do better than the direct estimates. A typical way of borrowing strength is via statistical modelling. On the other hand, there is no 'free lunch'. Yes, one can do better by borrowing strength, but there is a cost. This is the main topic discussed in this text.FeaturesA comprehensive account of methods, applications, as well as some open problems related to robust SAEMethods illustrated by worked examples and case studies using real dataDiscusses some advanced topics including benchmarking, Bayesian approaches, machine learning methods, missing data, and classified mixed model predictionSupplemented with code and data via a websiteRobust Small Area Estimation: Methods, Applications, and Open Problems is primarily aimed at researchers and graduate students of statistics and data science and would also be suitable for geography and survey methodology researchers. The practical approach should help persuade practitioners, such as those in government agencies, to more readily adopt robust SAE methods. It could be used to teach a graduate-level course to students with a background in mathematical statistics. 276 pp. Englisch.…