LEADER 04255oam 2200577I 450 001 9910958273003321 005 20251117101416.0 010 $a0-429-10216-X 010 $a1-4665-7756-8 024 7 $a10.1201/b15675 035 $a(CKB)2670000000395017 035 $a(EBL)1398215 035 $a(SSID)ssj0001034782 035 $a(PQKBManifestationID)11645416 035 $a(PQKBTitleCode)TC0001034782 035 $a(PQKBWorkID)11017413 035 $a(PQKB)11478665 035 $a(OCoLC)887498820 035 $a(MiAaPQ)EBC1398215 035 $a(OCoLC)885198919 035 $a(EXLCZ)992670000000395017 100 $a20180331h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNetwork and adaptive sampling /$fArijit Chaudhuri, Applied Statistics Unit, Indian Statistical Institute, Kolkata, India 205 $a1st ed. 210 1$aBoca Raton :$cCRC Press, Taylor & Francis Group,$d[2015] 210 4$dİ2015 215 $a1 online resource (132 p.) 300 $aA Science Publishers book. 311 08$a1-322-63837-3 311 08$a1-4665-7757-6 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Preface; Acknowledgment; Chapter-wise Summary; List of Abbreviations; 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 330 $aCombining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores how adaptive sampling is strengthened in information content through subsidiary sampling with devices to mitigate unmanageable expanding sample sizes. Empirical data illustrates the applicability of both methods--$cProvided by publisher. 330 $aPreface Network Sampling was possibly invented by Sirken (1970, 1983) while Chaudhuri and Stenger (2005) briefly narrated his theory; and J.N.K. Rao (1999) further elaborated about this subject as introduced by Sirken. Chaudhuri's (2000) exposition on it thrives on the foundation laid by Thompson (1990,1992) and Thompson and Seber (1996) on 'Network Sampling', named by the latter two researchers. In this treatise we shall follow this approach. Adaptive Sampling too, from what is understood, originated through the researches made by Thompson (1990, 1992) while Thompson and Seber (1996) and further strengthened by Chaudhuri (2000). Salehi and Seber (2002) and Seber and Salehi (2013) have also contributed immensely to the subject. But the aspects of Network Sampling and Adaptive Sampling which will be discussed in the present volume are confined mainly to the contributions published in the follwing documents bearing participation by us: Chaudhuri (2000, 2010), Chaudhuri and Saha (2004), Chaudhuri, Bose and Ghosh (2004), Chaudhuri and Stenger (2005), Chaudhuri, Bose and Dihidar (2005) and an exposure by Chaudhuri and Dihidar (2010) plus the current involvement as in Chaudhuri (2011). First, let us shed some light on the subject. In a standard household survey our intention may be to serviceably estimate the population total or mean of a variable which is an important consideration but is valued zero for many households while it is substantial for many others. However, before conducting the survey viii Network and Adpative Sampling--$cProvided by publisher. 606 $aAdaptive sampling (Statistics) 615 0$aAdaptive sampling (Statistics) 676 $a519.5/2 676 $a519.52 686 $aMAT029000$2bisacsh 700 $aChaudhuri$b Arijit$f1940,$01875300 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910958273003321 996 $aNetwork and adaptive sampling$94492868 997 $aUNINA