000 | 03644cam a2200337Ii 4500 | ||
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001 | 9780429102165 | ||
008 | 180331t20152015flua ob 001 0 eng d | ||
020 |
_a9780429102165 _q(e-book : PDF) |
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020 |
_z9781466577565 _q(hardback) |
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024 | 7 |
_a10.1201/b15675 _2doi |
|
035 | _a(OCoLC)885198919 | ||
040 |
_aFlBoTFG _cFlBoTFG _erda |
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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] |
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264 | 4 | _c©2015 | |
300 | _a1 online resource | ||
336 |
_atext _2rdacontent |
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337 |
_acomputer _2rdamedia |
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338 |
_aonline resource _2rdacarrier |
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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. |
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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. |
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650 | 0 |
_aAdaptive sampling (Statistics) _911401 |
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776 | 0 | 8 |
_iPrint version: _z9781466577565 _w(DLC) 2014018085 |
856 | 4 | 0 |
_uhttps://www.taylorfrancis.com/books/9781466577572 _zClick here to view. |
942 | _cEBK | ||
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_c69958 _d69958 |