| Record ID | ia:testingstatistic0000lehm_p5u1 |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/testingstatistic0000lehm_p5u1/testingstatistic0000lehm_p5u1_marc.xml |
| Download MARC binary | https://www.archive.org/download/testingstatistic0000lehm_p5u1/testingstatistic0000lehm_p5u1_meta.mrc |
LEADER: 02532cam a2200337 a 4500
001 5561537
005 20221121183432.0
008 041019t20052005nyu b 001 0 eng
010 $a 2004051464
020 $a0387988645 (acid-free paper)
035 $a(OCoLC)ocm56809791
035 $a(NNC)5561537
035 $a5561537
040 $aDLC$cDLC$dBAKER$dIXA$dOrLoB-B
050 00 $aQA277$b.L425 2005
082 00 $a519.5/6$222
100 1 $aLehmann, E. L.$q(Erich Leo),$d1917-2009.$0http://id.loc.gov/authorities/names/n79029189
245 10 $aTesting statistical hypotheses /$cE.L. Lehmann, Joseph P. Romano.
250 $a3rd ed.
260 $aNew York :$bSpringer,$c[2005], ©2005.
300 $axiv, 784 pages ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aSpringer texts in statistics
504 $aIncludes bibliographical references (p. [702]-756) and indexes.
505 00 $gI.$tSmall-sample theory -- $g1.$tThe general decision problem -- $g2.$tThe probability background -- $g3.$tUniformly most powerful tests -- $g4.$tUnbiasedness : theory and first applications -- $g5.$tUnbiasedness : applications to normal distributions -- $g6.$tInvariance -- $g7.$tLinear hypotheses -- $g8.$tThe Minimax principle -- $g9.$tMultiple testing and simultaneous inference -- $g10.$tConditional inference -- $gII.$tLarge-sample theory -- $g11.$tBasic large sample theory -- $g12.$tQuadratic mean differentiable families -- $g13.$tLarge sample optimality -- $g14.$tTesting goodness of fit -- $g15.$tGeneral large sample methods -- $gA.$tAuxiliary results.
520 1 $a"The Third Edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760."--BOOK JACKET.
650 0 $aStatistical hypothesis testing.$0http://id.loc.gov/authorities/subjects/sh85127567
700 1 $aRomano, Joseph P.,$d1960-$0http://id.loc.gov/authorities/names/n85197888
830 0 $aSpringer texts in statistics.$0http://id.loc.gov/authorities/names/n84743107
852 00 $bmat$hQA277$i.L425 2005