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Network and adaptive sampling / Arijit Chaudhuri.

By: Material type: TextTextPublication details: Boca Raton : CRC Press, c2015.Description: xix, 114 p. ; 24 cmISBN:
  • 9781466577565 (hardback : acidfree paper)
Subject(s): DDC classification:
  • 23 C496 000SA.081
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-- Appendix-- Bibliography-- Author index-- Subject index.
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 subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods"--Summary: "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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata ISI Scientist Publication 000SA.081 C496 (Browse shelf(Opens below)) Available 135734
Total holds: 0

"A Science Publishers book."

Includes bibliographical references (pages 107-109) and indexes.

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--
Appendix--
Bibliography--
Author index--
Subject index.

"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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