000 03644cam a2200337Ii 4500
001 9780429102165
008 180331t20152015flua ob 001 0 eng d
020 _a9780429102165
_q(e-book : PDF)
020 _z9781466577565
_q(hardback)
024 7 _a10.1201/b15675
_2doi
035 _a(OCoLC)885198919
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aQA276.6
_b.C4288 2015
082 0 4 _a519.52
_bC496
100 1 _aChaudhuri, Arijit,
_d1940,
_eauthor.
_911400
245 1 0 _aNetwork and adaptive sampling /
_cArijit Chaudhuri, Applied Statistics Unit, Indian Statistical Institute, Kolkata, India.
264 1 _aBoca Raton :
_bCRC Press, Taylor & Francis Group,
_c[2015]
264 4 _c©2015
300 _a1 online resource
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
500 _aA Science Publishers book.
505 0 _achapter 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.
520 _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.
520 _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.
650 0 _aAdaptive sampling (Statistics)
_911401
776 0 8 _iPrint version:
_z9781466577565
_w(DLC) 2014018085
856 4 0 _uhttps://www.taylorfrancis.com/books/9781466577572
_zClick here to view.
942 _cEBK
999 _c69958
_d69958