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Adaptive Sampling Designs: Inference for Sparse and Clustered Populations by Moh

Description: Adaptive Sampling Designs by Mohammad M. Salehi, George A.F. Seber This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.Written by two acknowledged experts in the field of adaptive sampling. Back Cover This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations. Written by two acknowledged experts in the field of adaptive sampling. Author Biography George Seber is an Emeritus Professor of Statistics at Auckland University, New Zealand. He is an elected Fellow of the Royal Society of New Zealand and recipient of their Hector medal in Science. He has authored or coauthored 13 books and 77 research articles on a wide variety of topics including linear and nonlinear models, multivariate analysis, adaptive sampling, genetics, epidemiology, and statistical ecology. Mohammad Salehi is a Professor of Statistics at Isfahan University of Technology, Iran. Currently, he is also a Professor of Statistics and Director of the Statistical Consulting Unit at Qatar University, Qatar, and has published extensively in the field of adaptive sampling. Table of Contents Basic Ideas.- Adaptive Cluster Sampling.- Rao-Blackwell Modi.- Primary and Secondary Units.- Inverse Sampling Methods.- Adaptive Allocation. Review From the book reviews:"The book is suitable for a reader interested in adaptive sampling designs and estimators based on thorough mathematical theory." (Adriana Horníková, Technometrics, Vol. 56 (2), May, 2014) Review Quote From the book reviews: "The book is suitable for a reader interested in adaptive sampling designs and estimators based on thorough mathematical theory." (Adriana Hornkov, Technometrics, Vol. 56 (2), May, 2014) Feature Brief, but presents the methods salient features Surveys the field, cross-linking it to other research Useful for those interested in conducting research in the field Details ISBN3642336566 Author George A.F. Seber Short Title ADAPTIVE SAMPLING DESIGNS 2013 Language English ISBN-10 3642336566 ISBN-13 9783642336560 Media Book Format Paperback Subtitle Inference for Sparse and Clustered Populations Year 2012 Publication Date 2012-10-23 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany DEWEY 519.5 Pages 70 Series SpringerBriefs in Statistics Illustrations IX, 70 p. DOI 10.1007/978-3-642-33657-7 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2013 ed. Edition 2013th Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96379078;

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Adaptive Sampling Designs: Inference for Sparse and Clustered Populations by Moh

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ISBN-13: 9783642336560

Book Title: Adaptive Sampling Designs

Number of Pages: 70 Pages

Language: English

Publication Name: Adaptive Sampling Designs: Inference for Sparse and Clustered Populations

Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg

Publication Year: 2012

Subject: Mathematics, Healthcare System

Item Height: 235 mm

Item Weight: 1358 g

Type: Textbook

Author: Mohammad M. Salehi, George A.F. Seber

Item Width: 155 mm

Format: Paperback

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