analysis of variance

analysis of variance的基本解释

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[化] 方差分析

与analysis of variance相关的网络例句 [注：此内容来源于网络，仅供参考]

Thecompare of genetic map between Lowes and ours showed 26 homology marker situ,which occupied 21.1% of the marker situ in the experiment. 81 QTLs were detected for 11 agronomic traits. 4 QTLs were detected for plantheight, which explained 10.3%～28.9% of trait variance; 2 QTLs were detected forNo. of effective 1-st branches, which explained 22.1%～47% of trait variance; 16QTLs were detected for effective branches height, which explained 12.2%～51.8% oftrait variance; 15 QTLs were detected for length of main inflorenscence, whichexplained 7.4%～26.6% of trait variance; 5 QTLs were detected for effective siliquesof main inflorenscence, which explained 11.2%～25% of trait variance; 1 QTLs weredetected for density of main infiorenscence, which explained 17.3% of trait variance;12 QTLs were detected for length of silique, which explained 24%～36.7% of traitvariance; 2 QTLs were detected for seed per sillique, which explained 9.6% and16.9% of trait variance; 2 QTLs were detected for 1000 seed weight, which explained26%～13.7% of trait variance; 11 QTLs were detected for Total effective siliques perplant, which explained 14.8%～47.2% of trait variance; 11 QTLs were detected forplant height, which explained 14.3%～32.8% of trait variance.

其中，株高检测到4个QTLs，解释性状表型变异的10.3％～28.9％；一次有效分枝数检测到2个QTLs，解释性状表型变异的22.1％和47％；有效分枝部位检测到16个QTLs，解释性状表型变异的12.2％～51.8％；主花序长度检测到15个QTLs，解释性状表型变异的7.4％～26.6％；主花序有效角数检测到5个QTLs，解释性状表型变异的11.2％～25％；主花序角密度检测到1个QTLs，解释性状表型变异的17.3％；角果长度检测到12个QTLs，解释性状表型变异的24％～36.7％；每角粒数检测到2个QTLs，解释性状表型变异的9.6％和16.9％；千粒重检测到2个QTLs，解释性状表型变异的26％和13.7％；单株有效角果总数检测到11个QTLs，解释性状表型变异的14.8％～47.2％；单株产量检测到11个QTLs，解释性状表型变异的14.3％～32.8％。

The results showed that:(1) we can mapping quantitative trait locus while estimating the variance component of QTL;(2) granddaughter design is better than daughter design when mapping QTL;(3) it is easy to map a QTL for trait with a high heriability and a large QTL variance contribution;(4) we can estimate the variance component of a QTL by TM-BLUP based on ML method whether the QTL has only 2 alleles or QTL has normal distributed alleles effects;(5) the estimation accuracy of variance component contributed by QTL was improved by using of grand daughter design;(6) the higher the heritability and the QTL variance contribution was, the more accurate estimation of QTL variance component.

结果表明：（1）采用随机QTL效应模型和最大似然法，在估计QTL方差组分的同时，能够定位QTL；（2）孙女设计与女儿设计相比，在其它因素相同时，容易检出QTL；（3）遗传力高，QTL方差贡献较大的性状，QTL检出的效果优于遗传力低，QTL方差贡献较小的性状；（4）无论QTL上有2个等位基因，还是QTL上等位基因的效应服从正态分布，都可将其看作随机效应，采用基于TM-BLUP的ML法，估计其方差组分和定位QTL；（5）QTL方差组分估计的准确性，孙女设计高于女儿设计；（6）遗传力高的性状，QTL方差贡献大的QTL，QTL方差组分估计的准确性高。

AMOVAresults showed there were 95.99%genetic variance within subpopulations,4.01% genetic variance between subpopulationsfor Schima superba;there were 75.36% genetic variance within subpopulation,24.64%genetic variance between subpopulations for Castanopsis chinensis;there were 89.55%genetic variance within subpopuiations,10.45% genetic variance betweensubpopulations for Cryptocarya chinensis.

AMOVA分析结果表明，荷木有95.99％的遗传变异表现在亚种群内，有4.01％的遗传变异表现在亚种群间，即95.99％的遗传变异是由于个体与个体之间的差异造成的，有4.01％的遗传变异是由于个体在不同的群落造成的；锥栗有75.36％的遗传变异表现在亚种群内，有24.64％的遗传变异表现在亚种群间，即75.36％的遗传变异是由于个体与个体之间的差异造成的，有24.64％的遗传变异是由于个体在不同的群落造成的；厚壳桂有89.55％的遗传变异表现在亚种群内，有10.45％的遗传变异表现在亚种群间，即89.55％的遗传变异是由于个体与个体之间的差异造成的，有10.45％的遗传变异是由于个体在不同的群落造成的。

与analysis of variance相关的网络解释 [注：此内容来源于网络，仅供参考]

analysis of variance：方差分析

方差分析(Analysis of Variance)是检验对多个均值是否相等的分析方法. 它具有时效性强、稳定性高的特点. 在企业管理中,往往需要对多个总体进行比较,并分析它们之间差异的原因,如不同的产品销售方式、不同包装方式等对产品销售量是否有影响;

analysis of variance：变异数分析

(c) 检定多个百分恍是否相等 (d) 样本数必须大於30 (e) 以上 皆非 (3) 下列何者和列联表(contingency table)分析并不相关(2) 下列何者和变异数分析(analysis of variance)相关皆非 (3) 下列何者和列联表(contingency table)分析并不相关(9) 当以t 检定一个母体平均数时,

analysis of variance：变方分析

Fisher在Rothamsted农业试验场工作时发明了田间试验的各种不同设计及发展出变方分析(Analysis of Variance)与变积分析(Analysis of Covariance)方法分析数据.

analysis of variance：差分析

方差分析(Analysis of Variance)是检验对多个均值是否相等的分析方法. 它具有时效性强、稳定性高的特点. 在企业管理中,往往需要对多个总体进行比较,并分析它们之间差异的原因,如不同的产品销售方式、不同包装方式等对产品销售量是否有影响;

analysis of variance：abbr. anova; 多重线性回归方法