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LEADER | 02048mam 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 |