Record ID | marc_columbia/Columbia-extract-20221130-006.mrc:259604267:2193 |
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LEADER: 02193mam a22003494a 4500
001 2726245
005 20221012232903.0
008 000615t20012001nyu b 001 0 eng
010 $a 00056271
020 $a0387951083 (pbk. : alk. paper)
035 $a(OCoLC)ocm44467373
035 $9ARH9708CU
035 $a2726245
040 $aDLC$cDLC$dOHX$dC#P$dOrLoB-B
042 $apcc
050 00 $aQA276.6$b.M77 2001
072 7 $aQA$2lcco
082 00 $a519.5/2$221
100 1 $aMukhopadhyay, Parimal.$0http://id.loc.gov/authorities/names/nr99016503
245 10 $aTopics in survey sampling /$cParimal Mukhopadhyay.
260 $aNew York :$bSpringer,$c[2001], ©2001.
300 $axi, 292 pages ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aLecture notes in statistics ;$v153
504 $aIncludes bibliographical references (p. [261]-283) and indexes.
520 1 $a"This book provides a review of topics in survey sampling that have not been covered in detail in other books and indicates new research areas. These topics include different modifications of Bayes procedures such as linear Bayes, constrained Bayes, Bayesian robustness under a class of contaminated priors, and their applications in survey sampling.
520 8 $aThe design-based and model-based strategies for finite population variance, finite population distribution function, inference in survey sampling under measurement error models, and calibration estimation techniques are discussed in detail.".
520 8 $a"Current investigations on the selected topics have been included, and the ideas have been lucidly explained and supplemented by numerous examples and exercises. The target audience is advanced graduate students and other researchers in survey statistics. The book assumes a knowledge of standard topics in survey sampling at the master's level and a training in mathematical statistics."--BOOK JACKET.
650 0 $aSampling (Statistics)$0http://id.loc.gov/authorities/subjects/sh85117056
830 0 $aLecture notes in statistics (Springer-Verlag) ;$vv. 153.$0http://id.loc.gov/authorities/names/n42015168
852 00 $bmat$hQA276.6$i.M77 2001