MARC Bibliographic Record

LEADER02048mam a22003978a 4500
001 9928163223602122
005 20081016132235.0
008 930607t19931993caua b 000 0 eng
010    $a 93005212
020    $a080395381X
035    $a(OCoLC)28374765
035    $9ARQ9254UW
035    $a2816322
035    $a(WU)2816322-uwmadisondb
035    $a(EXLNZ-01UWI_NETWORK)999719144102121
040    $aDLC$beng$cDLC$dFUG$dGZM
049    $aGZZW
050 00 $aHA31.2$b.M66 1993
082 00 $a300/.1/5195$220
090    $aH62.A1$bQ36 no.95
100 1_ $aMooney, Christopher Z.
245 10 $aBootstrapping :$ba nonparametric approach to statistical inference /$cChristopher Z. Mooney, Robert D. Duval.
264 _1 $aNewbury Park, Calif. ;$aLondon :$bSage Publications,$c[1993]
264 _4 $c©1993
300    $avi, 72 pages :$billustrations ;$c22 cm.
336    $atext$btxt$2rdacontent
337    $aunmediated$bn$2rdamedia
338    $avolume$bnc$2rdacarrier
490 1_ $aQuantitative applications in the social sciences ;$v95
504    $aIncludes bibliographical references.
505 0_ $a1. Introduction -- Traditional parametric statistical inference -- Bootstrap statistical inference -- Bootstrapping a regression model -- Theoretical justification -- The jackknife -- Monte Carlo evaluation of the bootstrap -- 2. Statistical inference using the bootstrap -- Bias estimation -- Bootstrap confidence intervals -- 3. Applications of bootstrap confidence intervals -- Confidence intervals for statistics with unknown sampling distributions -- The sample mean from a small sample -- The difference between two sample medians -- Inference when traditional distributional assumptions are violated -- OLS regression with a nonnormal error structure -- 4. Conclusion -- Future work -- Limitation of the bootstrap -- Concluding remarks.
650 _0 $aSocial sciences$xStatistical methods.
650 _0 $aBootstrap (Statistics)
650 _0 $aInference.
700 1_ $aDuvall, Robert.
830 _0 $aQuantitative applications in the social sciences ;$v07-095.
997    $aMARCIVE

MMS IDs

Document ID: 999719144102121
Network Electronic IDs:
Network Physical IDs: 999719144102121
mms_ec_ids: 996743503402134
mms_lc_ids: 996008103402125
mms_mad_ids: 9928163223602122
mms_st_ids: 993418383402131
mms_mad_target_ids: 99103922933602122