• 重点讨论了单一方差估计多重插补的简化计算以及使用回答概率的单一插补等。

    Then, variance estimates of single imputation, simplified calculation of multiple imputation and imputation using response probability are studied.

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  • 2株溃疡病菌株及其硝酸盐诱变菌株、异核体菌株接种苹果进行致病性测定,经方差分析多重比较表明溃疡病菌致病力变异亚硝酸盐诱变、异核体产生。

    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.

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  • 测试结果统计分析采用三因素重复测量方差分析多重比较分析及配对T检验。

    The correct responses were analyzed with 3-factor repeated measures analysis of variance, multiple comparison analysis, and pairwise T-test.

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  • 提出了一种新的概率函数计算方法,用于研究金融时间序列方差波动方面多重分形特征

    A new probabilistic function for studying the multi-fractal features on the volatility of variance of financial time series is proposed.

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  • 运用因子方差分析进一步多重比较样本t检验的统计方法

    The simple factor analysis of variance and further statistical method of multiple comparison and independent exponent t-test were used.

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  • 多重信号分类(MUSIC)算法通过数据方差矩阵进行分解获得信号空间估计方法

    MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.

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  • 采用非均衡数据因素方差分析法,评价不同疗法的优劣,并结合多重比较得到最佳疗法。

    Adopting ANOVA of unbalanced data, evaluating the effect of different treatment, the best treatment through the multiple comparison graph is got.

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  • 采用随机区组试验设计通过方差分析多重比较回归分析,研究不同配方基质性质油松容器苗生长及生理特性的关系和对苗木生长影响。

    Using randomized block experiment design and variance analysis, multiple comparisons and regression analysis methods; the effects of the container-growing seedling were systematically analyzed.

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  • 利用单因素方差分析检验三组学生之间策略使用上是否存在显著差异采用LSD多重比较进一步指明此种差异存在于两组学生之间;

    One-way ANOVA was again used to decide significant differences in the use of strategy categories. This was followed by multiple comparisons using LSD to identify where the differences lay.

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  • 考察他们解决矛盾问题时所采用算子,并运用方差分析多重比较方法进行差异显著性检验

    The operators of contradiction problem solving were reviewed. Significant tests were conducted with ANOVA and multiple comparing.

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  • 所用到统计学方法一般统计描述(均数标准差),以及重复测量方差分析聚类分析,多重线形回归等

    The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.

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  • 所用到统计学方法一般统计描述(均数标准差),以及重复测量方差分析聚类分析,多重线形回归等

    The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.

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