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Network and adaptive sampling

Author: Arijit Chaudhuri
Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2014] ©2015
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
"Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Chaudhuri, Arijit, 1940-
Network and adaptive sampling.
Boca Raton : CRC Press, Taylor & Francis Group, 2014
(DLC) 2014018085
(OCoLC)812255714
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Arijit Chaudhuri
ISBN: 9781466577572 1466577576 9781322638379 1322638373
OCLC Number: 885198919
Description: 1 online resource (xix, 114 pages) : illustrations
Contents: Chapter 1. Notations and introduction --
chapter 2. Sampling and estimation methods --
chapter 3. Plea for network sampling --
chapter 4. Need for adaptive sampling --
chapter 5. Adaptive and network in tandem with constraints --
chapter 6. Applications and case studies --
chapter 7. A brief review of available literature.
Responsibility: Arijit Chaudhuri.
More information:

Abstract:

"Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods"

"Preface Network Sampling was possibly invented by Sirken (1970, 1983) while Chaudhuri & Stenger (2005) briefly narrated his theory; and J.N.K. Rao (1999) further elaborated about this subject as introduced by Sirken. Chaudhuri's (2000) exposition on it thrives on the foundation laid by Thompson (1990,1992) and Thompson & Seber (1996) on 'Network Sampling', named by the latter two researchers. In this treatise we shall follow this approach. "Adaptive Sampling" too, from what is understood, originated through the researches made by Thompson (1990, 1992) while Thompson & Seber (1996) and further strengthened by Chaudhuri (2000). Salehi & Seber (2002) and Seber & Salehi (2013) have also contributed immensely to the subject. But the aspects of Network Sampling and Adaptive Sampling which will be discussed in the present volume are confined mainly to the contributions published in the follwing documents bearing participation by us: Chaudhuri (2000, 2010), Chaudhuri & Saha (2004), Chaudhuri, Bose & Ghosh (2004), Chaudhuri & Stenger (2005), Chaudhuri, Bose & Dihidar (2005) and an exposure by Chaudhuri & Dihidar (2010) plus the current involvement as in Chaudhuri (2011). First, let us shed some light on the subject. In a standard household survey our intention may be to serviceably estimate the population total or mean of a variable which is an important consideration but is valued zero for many households while it is substantial for many others. However, before conducting the survey viii Network and Adpative Sampling"--

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