MARC Record from marc_columbia

LEADER: 03093pam a22003614a 4500
001 5577860
005 20221121184648.0
008 051116s2006 flua b 001 0 eng
010 $a 2005044880
015 $aGBA612947$2bnb
016 7 $a013375961$2Uk
020 $a1574446134 (acid-free paper)
035 $a(OCoLC)ocm62408775
035 $a(NNC)5577860
035 $a5577860
040 $aDLC$cDLC$dYDX$dBAKER$dUKM$dOrLoB-B
042 $apcc
050 00 $aQA276$b.M79 2006
082 00 $a519.5$222
100 1 $aMukhopadhyay, Nitis,$d1950-$0http://id.loc.gov/authorities/names/n93120619
245 10 $aIntroductory statistical inference /$cNitis Mukhopadhyay.
260 $aBoca Raton :$bChapman & Hall/CRC,$c2006.
300 $axviii, 280 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aStatistics, textbooks and monographs ;$vv. 187
504 $aIncludes bibliographical references (p. [255]-260) and indexes.
505 00 $g1.$tProbability and distributions -- $g2.$tMoments and generating functions -- $g3.$tMultivariate random variables -- $g4.$tSampling distribution -- $g5.$tNotions of convergence -- $g6.$tSufficiency, completeness, and ancillarity -- $g7.$tPoint estimation -- $g8.$tTests of hypotheses -- $g9.$tConfidence intervals -- $g10.$tBayesian methods -- $g11.$tLikelihood ratio and other tests -- $g12.$tLarge-sample methods -- $g13.$tAbbreviations, historical notes, and tables.
520 1 $a"Beginning with a review of the basic concepts and methods in probability theory, moments, and moment generating functions, the author moves to more intricate topics. Introductory Statistical Inference studies multivariate random variables, exponential families of distributions, and standard probability inequalities. It develops the Helmert transformation for normal distributions, introduces the notions of convergence, and spotlights the central limit theorems. Coverage highlights sampling distributions, Basu's Theorem, Rao-Blackwellization, and the Cramer-Rao Inequality. The text also provides in-depth coverage of Lehmann-Scheffe Theorems, describes Bayesian methods and the Bayes estimator, and develops large-sample inference. The author provides a historical context for statistics and statistical discoveries and answers to a majority of the end-of-chapter exercises." "Designed primarily for a one-semester, first-year graduate course in probability and statistical inference, this text serves students from varied backgrounds and graduate programs, ranging from engineering, economics, agriculture, and bioscience to finance, financial mathematics, operations and information management, and psychology. The text may also be used for its intended audience in a one-year sequence."--BOOK JACKET.
650 0 $aMathematical statistics$vTextbooks.$0http://id.loc.gov/authorities/subjects/sh2010101009
650 0 $aProbabilities$vTextbooks.
830 0 $aStatistics, textbooks and monographs ;$vv. 187.$0http://id.loc.gov/authorities/names/n42023351
852 00 $bmat$hQA276$i.M79 2006