Description: Adaptive Sampling Designs : Inference for Sparse and Clustered Populations, Paperback by Seber, George; Salehi, Mohammad M., ISBN 3642336566, ISBN-13 9783642336560, Brand New, Free shipping in the US 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.
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Book Title: Adaptive Sampling Designs : Inference for Sparse and Clustered Po
Number of Pages: IX, 70 Pages
Publication Name: Adaptive Sampling Designs : Inference for Sparse and Clustered Populations
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2012
Subject: Biostatistics, Probability & Statistics / General, Life Sciences / Biology
Item Weight: 47.9 Oz
Type: Textbook
Subject Area: Mathematics, Science, Medical
Item Length: 9.3 in
Author: George A. F. Seber, Mohammad M. Salehi
Item Width: 6.1 in
Series: Springerbriefs in Statistics Ser.
Format: Trade Paperback