1) multiple comparison of means
均值多重比较
2) multiple comparisons of means
均数多重比较
3) multiple comparison of mean
均数的多重比较
5) multiple comparison
多重比较
1.
Variance Analysis and Multiple Comparison(LSD) by Excel in Veterinary Scientific Research;
在兽医科研中应用Excel进行方差分析和多重比较(LSD)
2.
Taken Armeniaca sibirica forests in western region of Liaoning province as research objects,growth status and soil amelioration effect of Armeniaca sibirica forests under the condition of different densities were compared by the means of variance analysis and multiple comparison, and the optimum planting density of Armeniaca sibirica forests at different ages were chosen.
以辽西地区山杏林地为研究对象,利用方差分析及多重比较的方法比较不同密度条件下山杏林生长状况和改土效益的差异,从而得出不同林龄山杏林最佳的栽植密度。
3.
The impact of agricultural industry factors on the advantageous agricultural enterprises in Guangzhou were researched in this paper by using One-Way ANOVA and multiple comparisons test of multivariate statistical analysis.
运用多元统计中的单因素方差分析与多重比较方法,研究了农业行业因素对广州优势农业企业的影响,从生产条件、销售与市场水平、管理支出水平、经济效益水平、发展潜力等方面对蔬菜、花卉、水产、畜牧4个不同行业的企业进行了比较分析,结果表明,养殖类行业的总体状况相对较好,花卉行业则相对较差。
6) multiple comparisons
多重比较
1.
Analyzing the methods for multiple comparisons of rates;
多个率的多重比较方法的选择
2.
By inoculation on apple with 2 wild canker pathogens and their nitrite mutant isolations and heterokaryotic isolations,the pathogenicity was got and analyzed by variance and multiple comparisons.
以2株溃疡病菌株及其亚硝酸盐诱变菌株、异核体菌株接种苹果进行致病性测定,经方差分析和多重比较表明,溃疡病菌致病力变异可由亚硝酸盐诱变、异核体产生。
3.
Objective Six common procedures of Multiple Comparisons were used in independent sample treatment means of tests, in order to give references to select the best method for analysis of quantitative data and the disciplinarian of these Multiple Comparisons.
目的对完全随机设计计量资料常用的多重比较方法——LSD检验、Duncan检验、SNK检验、Bonferroni检验、Scheffe检验、Sidak检验进行评价,为统计教学提供理论基础,为实际工作中多重比较方法的合理选择提供参考和依据。
补充资料：多重比较
分子式：
CAS号：
性质：多个平均值中两两平均值之间差异的显著性检验。在多因素试验中，F检验确定因素效应是显著性的，并不意味着因素各水平之间都有显著性差异，要具体确定哪些水平之间有显著性差异，需在同一置信度下进行多重比较。对各水平平均值进行比较的方法有图基(Tukey)的最小显著极差法，奈尔(Nair)检验法，舍费(Scheffe)检验法等。
CAS号：
性质：多个平均值中两两平均值之间差异的显著性检验。在多因素试验中，F检验确定因素效应是显著性的，并不意味着因素各水平之间都有显著性差异，要具体确定哪些水平之间有显著性差异，需在同一置信度下进行多重比较。对各水平平均值进行比较的方法有图基(Tukey)的最小显著极差法，奈尔(Nair)检验法，舍费(Scheffe)检验法等。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条