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multiple correlation coefficient相关的网络例句

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与 multiple correlation coefficient 相关的网络例句 [注:此内容来源于网络,仅供参考]

The spatial-temporal distribution of NPP along NECT and its response to climatic change were also analyzed. Results showed that the change tendency of NPP spatial distribution in NECT is quite similar to that of precipitation and their spatial correlation coefficient is up to 0.84 (P.01). The inter-annual variation of NPP in NECT is mainly affected by the change of the aestival NPP every year, which accounts for 67.6% of the inter-annual increase in NPP and their spatial correlation coefficient is 0.95 (P.01). The NPP in NECT is mainly cumulated between May and September, which accounts for 89.8% of the annual NPP. The NPP in summer accounts for 65.9% of the annual NPP and is the lowest in winter. Recent climate changes have enhanced plant growth in NECT. The mean NPP increased 14.3% from 1980s to 1990s. The inter-annual linear trend of NPP is 4.6 gCm^(-2)a^(-1), and the relative trend is 1.17%, which owns mainly to the increasing temperature.

结果表明:(1)NECT样带植被NPP的空间变化趋势同降水量的空间变化十分相似,由东到西逐渐降低,二者在空间上的相关性达到了0.84 (P.01),说明NECT样带的植被NPP在空间分布上主要受水分趋动:(2)NECT样带植被NPP的年际变化主要是由各年份夏季NPP的变化造成的,夏季对NECT样带植被NPP的年际增长贡献率最大(67.6%),二者之间的相关性达到了0.95 (P.01);(3)NECT样带的植被NPP积累期主要发生在5-9月份,这5个月的NPP占了全年NPP总量的89.8%,整个夏季(6-8月份)的NPP占了全年的65.9%,冬季(12-2月份)的NPP最低,基本为0;(4)近19年来的气候变化促进了NECT样带的植被生长,从1980年代到1990年代,NPP显著增加,年代际相对增长率为14.3%,平均年际绝对增长趋势为4.6 gCm^(-2)a^(-1),相对增长趋势为1.17%,这主要是由温度升高引起的。

The spatial-temporal distribution of NPP along NECT and its response to climatic change were also analyzed. Results showed that the change tendency of NPP spatial distribution in NECT is quite similar to that of precipitation and their spatial correlation coefficient is up to 0.84 (P 0.01). The inter-annual variation of NPP in NECT is mainly affected by the change of the aestival NPP every year, which accounts for 67.6% of the inter-annual increase in NPP and their spatial correlation coefficient is 0.95 (P 0.01). The NPP in NECT is mainly cumulated between May and September, which accounts for 89.8% of the annual NPP. The NPP in summer accounts for 65.9% of the annual NPP and is the lowest in winter. Recent climate changes have enhanced plant growth in NECT. The mean NPP increased 14.3% from 1980s to 1990s. The inter-annual linear trend of NPP is 4.6 gC·m-2·a-1, and the relative trend is 1.17%, which owns mainly to the increasing temperature.

结果表明:(1)NECT样带植被NPP的空间变化趋势同降水量的空间变化十分相似,由东到西逐渐降低,二者在空间上的相关性达到了0.84(P《0.01),说明NECT样带的植被NPP在空间分布上主要受水分趋动;(2)NECT样带植被NPP的年际变化主要是由各年份夏季NPP的变化造成的,夏季对NECT样带植被NPP的年际增长贡献率最大(67.6%),二者之间的相关性达到了0.95(P《0.01);(3)NECT样带的植被NPP积累期主要发生在5-9月份,这5个月的NPP占了全年NPP总量的89.8%,整个夏季(6-8月份)的NPP占了全年的65.9%,冬季(12-2月份)的NPP最低,基本为0;(4)近19年来的气候变化促进了NECT样带的植被生长,从1980年代到1990年代,NPP显著增加,年代际相对增长率为14.3%,平均年际绝对增长趋势为4.6 gCm-2(a-1,相对增长趋势为1.17%,这主要是由温度升高引起的。

Generalized ridge estimation ; kantorovich inequality ; eigenvalue ; trace of matrix ; canonical correlation coefficient ; generalized correlation coefficient

广义岭估计; Kantorovich不等式;特征值;矩阵的迹;典型相关系数;广义相关系数

Concerning deinked pulp, the model between pulp reflect ratio at 840nm or 940nm and the ERIC value are presented basing on the normal method ERIC950. After the model is calibrated by the OMG and ONP reflect experiments and by simulationg lacal deinked pulp circular system, the correlation coefficient is 94.6%. The function between pulp factual brightness and 460nm reflective ratio is also developed and the correlation coefficient is 94.5%.

内的概率达92.8%;对于脱墨浆,以ERIC950为基准,建立了纸浆840nm或940nm反射因数与ERIC值之间的函数关系,分别用OMG和ONP浆片的反射因数对模型的参数进行了整定,模型与残余油墨含量真实值线性相关性达94.6%;建立了纸浆真实亮度值与纸浆460nm反射因数之间的函数关系,纸浆亮度测量模型与真实值线性相关系数达94.5%。

Using the Pearson correlation coefficient and Spearman rank correlation coefficient, the interspecific association of 13 species in different communities in Beijing mountainous area were investigated, and the niche breadth and niche overlap of 13 species were studied.

应用Pearson相关系数和Spearman秩相关系数检验,研究了北京山区天然林群落13个乔木种群的种间关联性,并对13种植物种群的生态位宽度和生态位重叠进行研究。

Regression and Correlation, coefficient of regression, method least square, coefficient of correlation and determination.

教学目的:通过学习掌握回归关系和相关关系的区别及联系,回归和相关分析的基本原理和方法。

The results showed that the correlation coefficient of cross validation, the RMSECV, and the correlation coefficient of external validation are 0.904, 0.988%, and 0.987, respectively.

结果表明,用NIRS 法得到的预测值与用凯氏定氮法得到的测定值间的交叉验证决定系数R2cv为0.904,交叉检验标准误差RMSECV为0.988,外部验证的相关系数为0.987。

Functions include wave form addition, wave form subtraction, Lissajous Pattern display, transient signal recording, RMSamplitude spectrum display, relative amplitude spectrum display, phase spectrum display, auto correlation coefficient display, cross correlation coefficient display, function generation, and multi-tone generation.

功能包括音形叠加,音形结构,Lissajous Pattern 显示,暂时信号记录,RMS 声谱振幅显示,相关声谱振幅显示,自动相关系数显示,交错相关系数显示,函数生成以及多声音生成。

The spearman correlation coefficient was 0.290 (P<0.01) between HOMA index and risk factors score, and the partial correlation coefficient was 0.1776 (P<0.01) after adjustment for age, sex, body mass index and waist circumference.

在调整了年龄、性别、体重指数与腰围变量后的偏相关分析显示,HOMA指数与危险因素评分的偏相关系数为0.1776(P<0.01)。

The spearman correlation coefficient was 0.308 (P<0.01) between serum proinsulin and risk factors score, and the partial correlation coefficient was 0.2095 (P<0.01) after adjustment for age, sex, body mass index and waist circumference. The results of non-conditional univariate Logistic regression and multivariate stepwise Logistic regression indicated that serum proinsulin level associated with cardiovascular risk factors aggregation, and the odds ratio (95% CI) was 1.656 (1.483~1.851), 1.652 (1.475~1.850)(p<0.01) respectively.

Spearman相关分析及调整年龄、性别、体重指数与腰围后的偏相关分析结果显示,胰岛素原水平与危险因素评分的相关系数分别为0.308与0.2095(P值均为0.000);单因素及多因素Logistic回归分析显示,胰岛素原的水平与心血管危险因素聚集显著相关,其OR值(95%可信区间)分别为1.656(1.483~1.851)、1.652(1.475~1.850)(p<0.01)。

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饱受批评的一项法律的拥护者说合法化的婚内暴力不会受国际舆论的干涉。

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