| Record ID | marc_columbia/Columbia-extract-20221130-011.mrc:164017294:1760 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-011.mrc:164017294:1760?format=raw |
LEADER: 01760pam a22003374a 4500
001 5308803
005 20221110014322.0
008 040513t20052005nyua b 001 0 eng
010 $a 2004050436
020 $a038720279X (acid-free paper)
035 $a(OCoLC)ocm55473971
035 $a(NNC)5308803
035 $a5308803
040 $aDLC$cDLC$dGZM$dOHX$dOrLoB-B
042 $apcc
050 00 $aQA277$b.G643 2005
082 00 $a519.5/6$222
100 1 $aGood, Phillip I.$0http://id.loc.gov/authorities/names/n82148595
245 10 $aPermutation, parametric and bootstrap tests of hypotheses /$cPhillip Good.
250 $a3rd ed.
260 $aNew York :$bSpringer,$c[2005], ©2005.
300 $axix, 315 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aSpringer series in statistics
504 $aIncludes bibliographical references (p. [279]-302) and indexes.
505 00 $g1.$tA wide range of applications -- $g2.$tOptimal procedures -- $g3.$tTesting hypotheses -- $g4.$tDistributions -- $g5.$tMultiple tests -- $g6.$tExperimental designs -- $g7.$tMultifactor designs -- $g8.$tCategorical data -- $g9.$tMultivariate analysis -- $g10.$tClustering in time and space -- $g11.$tCoping with disaster -- $g12.$tSolving the unsolved and the insolvable -- $g13.$tPublishing your results -- $g14.$tIncreasing computational efficiency -- $gApp.$tTheory of testing hypotheses.
650 0 $aStatistical hypothesis testing.$0http://id.loc.gov/authorities/subjects/sh85127567
650 0 $aResampling (Statistics)$0http://id.loc.gov/authorities/subjects/sh92003436
830 0 $aSpringer series in statistics.$0http://id.loc.gov/authorities/names/n42023188
852 00 $bmat$hQA277$i.G643 2005