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ID:32137554
大小:2.32 MB
页数:44页
时间:2019-01-31
《青少年颌面部x线影像测量数据在法医鉴定中的应用方法分析》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、山西医科大学硕.J:学位论文disc曲lin锄t.TIlereisav撕able(1n(MP·FHfacialaIlgle))inthein仃oduceddiscriminantfonIlulation.TheVarianceanalyticalresultofthe帅icaldiscriminantequationshows,theEigenValue,tllerateofsquaresum锄ongclaLssandsumofsq吣s、Ⅳitll掣.oupsis1.015,Canonicalcorris0.821,aIldthe九valueofWilksisO.485.Th
2、roughris24.22,P3、一12,Yl-一O.156,Y2=0.095,somiscrimin枷criticalValueYc=(Yl+Y2)/2=·O.0305.BecauseofYl4、odofCross-Validated(a)tomakeVerifieddiscriminantfortheda协of273铲oupsusedintheresearch,metotaldiscriminantcoinciderateis75.46%.Then啪berofmaleisl03,iIlwmchthen啪beridentifiedco盯ectlyis80,andtheco盯ectrateis77.67%.111en啪beroffemaleis170.锄dthecorrectrateis74.12%.2Theestablishmentofthemethodofstatu5、I-eestimationHeightisregardedaSYalldl5inductorsareXl-X5respectiVely,tIlenusingSPSS15.0sofhⅣare锄dadoptiIlgstepwi∞t0makelinearre伊essionanalysis.11leresultshows,∥=0.053,F=7.992byVariaIlcea11alysis,锄dithaSs协tiStical(P6、oneq删ionofsta:tureestimationis:Y=132.38l+0.183X13+o.178X12.ChaIlgingtheorigimldataint0log撕tllITlic觚duSingSPSS15.0somVareagainnlenadoptingst印埘Setomake1inearregression锄alysis,theresultShowsRz=0.080,F=12.317byVarianCeanaJysis,孤dithaSs7、catiStical(P8、ucedmotheeq删ion,aIldmeregressionequationofagceStimationis:Y=50.540+18.820X13+5.776X12.,nleresultsho、ⅣsttlattherelatioIlSllipbcIt、№en让Ieteenagers’agesa11dl-Tor1.NBangle(ortlleirlogarithInic)ispositiveco盯elation.Ttle缸1ctionof■T觚gleexceeds1.NBangle.3Theesta
3、一12,Yl-一O.156,Y2=0.095,somiscrimin枷criticalValueYc=(Yl+Y2)/2=·O.0305.BecauseofYl4、odofCross-Validated(a)tomakeVerifieddiscriminantfortheda协of273铲oupsusedintheresearch,metotaldiscriminantcoinciderateis75.46%.Then啪berofmaleisl03,iIlwmchthen啪beridentifiedco盯ectlyis80,andtheco盯ectrateis77.67%.111en啪beroffemaleis170.锄dthecorrectrateis74.12%.2Theestablishmentofthemethodofstatu5、I-eestimationHeightisregardedaSYalldl5inductorsareXl-X5respectiVely,tIlenusingSPSS15.0sofhⅣare锄dadoptiIlgstepwi∞t0makelinearre伊essionanalysis.11leresultshows,∥=0.053,F=7.992byVariaIlcea11alysis,锄dithaSs协tiStical(P6、oneq删ionofsta:tureestimationis:Y=132.38l+0.183X13+o.178X12.ChaIlgingtheorigimldataint0log撕tllITlic觚duSingSPSS15.0somVareagainnlenadoptingst印埘Setomake1inearregression锄alysis,theresultShowsRz=0.080,F=12.317byVarianCeanaJysis,孤dithaSs7、catiStical(P8、ucedmotheeq删ion,aIldmeregressionequationofagceStimationis:Y=50.540+18.820X13+5.776X12.,nleresultsho、ⅣsttlattherelatioIlSllipbcIt、№en让Ieteenagers’agesa11dl-Tor1.NBangle(ortlleirlogarithInic)ispositiveco盯elation.Ttle缸1ctionof■T觚gleexceeds1.NBangle.3Theesta
4、odofCross-Validated(a)tomakeVerifieddiscriminantfortheda协of273铲oupsusedintheresearch,metotaldiscriminantcoinciderateis75.46%.Then啪berofmaleisl03,iIlwmchthen啪beridentifiedco盯ectlyis80,andtheco盯ectrateis77.67%.111en啪beroffemaleis170.锄dthecorrectrateis74.12%.2Theestablishmentofthemethodofstatu
5、I-eestimationHeightisregardedaSYalldl5inductorsareXl-X5respectiVely,tIlenusingSPSS15.0sofhⅣare锄dadoptiIlgstepwi∞t0makelinearre伊essionanalysis.11leresultshows,∥=0.053,F=7.992byVariaIlcea11alysis,锄dithaSs协tiStical(P6、oneq删ionofsta:tureestimationis:Y=132.38l+0.183X13+o.178X12.ChaIlgingtheorigimldataint0log撕tllITlic觚duSingSPSS15.0somVareagainnlenadoptingst印埘Setomake1inearregression锄alysis,theresultShowsRz=0.080,F=12.317byVarianCeanaJysis,孤dithaSs7、catiStical(P8、ucedmotheeq删ion,aIldmeregressionequationofagceStimationis:Y=50.540+18.820X13+5.776X12.,nleresultsho、ⅣsttlattherelatioIlSllipbcIt、№en让Ieteenagers’agesa11dl-Tor1.NBangle(ortlleirlogarithInic)ispositiveco盯elation.Ttle缸1ctionof■T觚gleexceeds1.NBangle.3Theesta
6、oneq删ionofsta:tureestimationis:Y=132.38l+0.183X13+o.178X12.ChaIlgingtheorigimldataint0log撕tllITlic觚duSingSPSS15.0somVareagainnlenadoptingst印埘Setomake1inearregression锄alysis,theresultShowsRz=0.080,F=12.317byVarianCeanaJysis,孤dithaSs
7、catiStical(P8、ucedmotheeq删ion,aIldmeregressionequationofagceStimationis:Y=50.540+18.820X13+5.776X12.,nleresultsho、ⅣsttlattherelatioIlSllipbcIt、№en让Ieteenagers’agesa11dl-Tor1.NBangle(ortlleirlogarithInic)ispositiveco盯elation.Ttle缸1ctionof■T觚gleexceeds1.NBangle.3Theesta
8、ucedmotheeq删ion,aIldmeregressionequationofagceStimationis:Y=50.540+18.820X13+5.776X12.,nleresultsho、ⅣsttlattherelatioIlSllipbcIt、№en让Ieteenagers’agesa11dl-Tor1.NBangle(ortlleirlogarithInic)ispositiveco盯elation.Ttle缸1ctionof■T觚gleexceeds1.NBangle.3Theesta
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