SURVEY SAMPLING

Survey Sampling reviews aspects of statistical inference in finite population sampling. After reviewing important results in fixed population models, the book considers in detail the model-dependent optimal strategies of Royall and Herson (1973) and the robustification of these strategies under mode...

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Bibliographic Details
Main Author: Mukhopadhyay, Parimal (Author)
Format: Manuscript Book
Language:English
Published: Oxford, U.K. Alpha Science Int. Ltd. 2007
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100 1 # |a Mukhopadhyay, Parimal  |e author 
245 1 0 |a SURVEY SAMPLING  |c Parimal Mukhopadhyay 
264 # 1 |a Oxford, U.K.  |b Alpha Science Int. Ltd.  |c 2007 
264 # 4 |c ©2007 
300 # # |a xii, 256 pages  |b illustrations  |c 25 cm 
336 # # |a text  |2 rdacontent 
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338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references and index 
520 # # |a Survey Sampling reviews aspects of statistical inference in finite population sampling. After reviewing important results in fixed population models, the book considers in detail the model-dependent optimal strategies of Royall and Herson (1973) and the robustification of these strategies under model breakdown. It then reviews model assist strategies of Cassel, Sarndal and Wretman (1976) and Wright (1983). Asymptotic properties of these strategies are also reviewed. Another approach is design-based calibration of Deville and Sarndal (1992). Design-based conditional inference is an alternative approach which has drawn considerable attention to survey statisticians. Lastly the book reviews two important tools of making inference,-Model Calibration approach and Empirical Likelihood based approach. Post-stratification is another aspect which requires considerable attention. 
650 # 0 |a Social sciences  |x Research 
650 # 0 |a Sampling (Statistics) 
650 # 0 |a Social surveys 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=360061 
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