Isbn: 9780471208273 - constrained statistical inference: order, inequality, and shape constraints: 331 (wiley series in probability and statistics) (19 resultados)

Hardcover. Condición: VG-. used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped, a couple of nicks to outer edge of cover. previous owner's name on front endsheet. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.…

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Condición: New. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Series: Wiley Series in Probability and Statistics. Num Pages: 532 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 31. Weight in Grams: 896. . 2004. 1st Edition. Hardcover. . . . .…

Gebunden. Condición: New. MERVYN J. SILVAPULLE, PhD, is an Associate Professor in the Department of Statistical Science at La Trobe University in Bundoora, Australia. He received his PhD in statistics from the Australian National University in 1981.PRANAB K. SEN, PhD, is a Professor.

Hardcover. Condición: Brand New. 1st edition. 532 pages. 9.25x6.25x1.25 inches. In Stock.

Condición: New. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Series: Wiley Series in Probability and Statistics. Num Pages: 532 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 31. Weight in Grams: 896. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Condición: New. pp. xvii + 532 Index.

Condición: New. pp. xvii + 532 Illus. This item is printed on demand.

Hardcover. Condición: new. Hardcover. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regressionInequality-constrained tests on normal meansTests in general parametric modelsLikelihood and alternativesAnalysis of categorical dataInference on monotone density function, unimodal density function, shape constraints, and DMRL functionsBayesian perspectives, including Steins Paradox, shrinkage estimation, and decision theory An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condición: Brand New. 1st edition. 532 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.

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Condición: New. PRINT ON DEMAND pp. xvii + 532.