The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques
The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as:Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
MALAY GHOSH, PhD, is a professor in the University of FloridaDepartment of Statistics.
NITIS MUKHOPADHYAY, PhD, is a professor in the University ofConnecticut Department of Statistics. PRANAB K. SEN, PhD, is a professor in the Department ofBiostatistics and Statistics of the University of North Carolina.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. This book devoted to sequential estimation presents the advances of the past fifteen years including those in the areas of three-stage accelerated sequential sampling procedures. Series: Wiley Series in Probability and Statistics. Num Pages: 480 pages, black & white illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 165 x 35. Weight in Grams: 908. . 1997. 1st Edition. hardcover. . . . . N° de réf. du vendeur V9780471812715
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Hardcover. Etat : new. Hardcover. The only comprehensive guide to the theory and practice of one oftoday's most important probabilistic techniques The past 15 years have witnessed many significant advances insequential estimation, especially in the areas of three-stage andnonparametric methodology. Yet, until now, there were no referencesdevoted exclusively to this rapidly growing statisticalfield. Sequential Estimation is the first, single-source guide to thetheory and practice of both classical and modern sequentialestimation techniques--including parametric and nonparametricmethods. Researchers in sequential analysis will appreciate theunified, logically integrated treatment of the subject, as well ascoverage of important contemporary procedures not covered in moregeneral sequential analysis texts, such as: * Shrinkage estimation * Empirical and hierarchical Bayes procedures * Multistage sampling and accelerated sampling procedures * Time-sequential estimation * Sequential estimation in finite population sampling * Reliability estimation and capture-recapture methodologiesleading to sequential tagging schemes An indispensable resource for researchers in sequential analysis,Sequential Estimation is an ideal graduate-level text as well. This book devoted to sequential estimation presents the advances of the past fifteen years including those in the areas of three--stage accelerated sequential sampling procedures. It integrates the diversities in sequential estimation in a logical, treating both classical and modern techniques and including parametric and nonparametric methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780471812715
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