MARC Record from Library of Congress

LEADER: 02181cam a22003377a 4500
001 2010483507
003 DLC
005 20120203082709.0
008 100831s2010 enka b 000 0 eng
010 $a 2010483507
015 $aGBA984290$2bnb
015 $a015-35705$2bnb
016 7 $a015357057$2Uk
020 $a9780521896191 (hbk.)
020 $a0521896193 (hbk.)
035 $a(OCoLC)ocn401145580
040 $aUKM$cUKM$dBTCTA$dBWKUK$dYDXCP$dIUL$dSNK$dGBVCP$dCHVBK$dDLC
042 $aukblcatcopy$alccopycat
050 00 $aQA276$b.A539 2009
082 04 $a519.5$222
245 00 $aAlgebraic and geometric methods in statistics /$cedited by Paolo Gibilisco ... [et al.].
260 $aCambridge :$bCambridge University Press,$c2010.
300 $axvi, 365 p. :$bill. ;$c26 cm.
504 $aIncludes bibliographical references.
520 1 $a"This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and how they benefit our understanding of statistical models and, in particular, exponential models. This book presents a new way of approaching classical statistical problems and raises scientific questions that would never have been considered without the interaction of these two disciplines." "Beginning with a brief introduction to each area, using simple illustrative examples, the book then proceeds with a collection of reviews and some new results by leading researchers in their respective fields. Parts I and II are mainly on contingency table analysis and design of experiments, Part III dwells on both classical and quantum information geometry. Finally, Part IV provides examples of the interplay between algebraic statistics and information geometry. Computer code and some proofs are also available online, where key examples are also developed in further detail."--BOOK JACKET.
650 0 $aMathematical statistics.
650 0 $aGeometry, Algebraic.
650 7 $aStatistik$xGeometrisches Modell.$2idsbb
650 7 $aStatistik$xAlgebra.$2idsbb
650 7 $aAlgebra$xStatistik.$2idsbb
700 1 $aGibilisco, Paolo.