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multiple regression analysis相关的网络例句

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

NMath Stats contains a data table class with functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more; PDF, CDF, inverse CDF, and random variable moments for a variety of probability distributions, including normal, Poisson, chi-square, gamma, beta, Student's t, F, binomial, and negative binomial; Combinatorial functions, such as factorial, log factorial, binomial coefficient, and log binomial; Multiple linear regression; Basic hypothesis tests, such as z-test, t-test, and F-test, with calculation of p-values, critical values, and confidence intervals; One-way and two-way analysis of variance and analysis of variance with repeated measures; Multivariate statistical analyses, including principal component analysis and hierarchical cluster analysis.

nmath统计包含一个数据表的阶层与职能计算描述性统计,如平均,方差,标准差,百分位,中位数, 25 %,几何平均数,调和的意思是,有效值,峭度,偏度,还有更多的; PDF格式,民防部队,逆民防部队,并随机变量矩的各种概率分布,包括正常,泊松,卡方检定,伽玛,测试版,学生的吨,男,二项式,并负二项分布;组合的功能,例如阶乘,日志阶乘,二项式系数,并登入二项式;多元线性回归;基本假设测试,如的Z测试, t检验, F检验,计算p值,临界值,和置信区间;之一,双向和双方法方差分析和方差分析与反复的措施;多元统计分析,包括主成分分析和聚类分析。

Five main stalk crops planted in northern China including wheat, corn, broomcorn, soybean, and millet, were chosen to be the samples of the experiments. About seven morphological traits (such as plant height, ear length, ear weight, moisture content and so on) were measured in the crop mature period. The maximum shear force during shearing process, through static test equipment, at the second internode of the basal stalk, was recorded. And shear strength of each crop was calculated to find the differences of shear strength among different crops. The optimal regression models of shear force and morphological traits were obtained by multiple linear regression method with Statistics Analysis System. The equation based on the regression models was constructed.

本文以北方主要茎秆作物(小麦、玉米、高粱、大豆、谷子)为研究对象,试验测定了成熟期茎秆基部第二节间的最大剪切力及株高、穗长、穗重、含水率等七种形态特性指标,获得了静载情况下相关样本的剪切强度;分析比较了不同茎秆作物剪切强度的差异性,并利用SAS软件对茎秆作物剪切力与形态特性指标进行了多元线性回归,得到了剪切强度对形态特性指标的最优回归方程。

According to the annual warning water levels from the Jinchengjiang Guaging Station on the Longjiang River, with 500 hPa circulation index, circulation characteristic amount, local climate and etc., analysis can be made with variance cycle, multiple linear regression, stepwise regression procedure.

1引言 龙江河流域发源于贵州省荔波县境内,流经桂西北地区中部,到达柳州市后流人柳江河,全长390公里。龙江河流域拥有10多个中小型梯级电站,具有发电、灌溉、航运、养殖等功能,是桂西北地区发展经济的主要河流。

They were tested through factor analysis, multiple linear regression and logistic regression.

最后,我们利用收集来的数据,采用因子分析、多元回归分析和逻辑斯蒂回归的统计方法进行了假设检验。

This research was divided into four hypotheses and used descriptive statistics, reliability analysis, correlation analysis, independent-samples T Test, analysis of variance and multiple analysis regression as statistic methods.

本研究分四个假设,使用统计方法有描述性统计分析、信度分析、相关分析、独立样本t检定、变异数分析、多层级回归分析。

The results from statistic data analysis using the statistic software SPSS15.0 for descriptive statistics, chi-square evaluation, laddered logistic regression, factors analysis, credibility analysis, variables analysis, and multiple comparison are as follows

利用统计软体SPSS15.0进行描述性统计、卡方检定、阶层式逻辑斯回归、因素分析、信度分析、变异数分析、多重比较等统计方法分析,根据统计资料分析结果

The results from statistic data analysis using the statistic software SPSS15.0 for descriptive statistics, chi-square evaluation, laddered logistic regression, factors analysis, credibility analysis, variables analysis, and multiple comparison are as follows: I. An analysis of the prominently related variables with whether or not to receive cervical smear screen of tendency factors, enabling factors and needs factors by using the logistic regression model was performed.: 6 variables of tendency factors with predictive value as to whether a woman receive cervical smear screen or not include age, marital status, educational level, family structure, religion, and the knowledge of free smear examination offered by mandatory citizen health insurance; 4 variables with enabling factors with predictive value include average monthly income, district, whether receiving telephone or letter notices in the past year, and the degree of convenience of the examination location. One variable of needs factors with predictive value: is the suitability of the examination time notified. The accuracy rate of laddered logistic regression model built by this research was 74.1%.

利用统计软体SPSS15.0进行描述性统计、卡方检定、阶层式逻辑斯回归、因素分析、信度分析、变异数分析、多重比较等统计方法分析,根据统计资料分析结果:经卡方检定后,将倾向、能用、需要因素中具有显著相关变项与是否接受抹片检查,放入逻辑斯回归预测模型中,本研究结果发现:倾向因素中的六个变项:年龄、婚姻状况、教育程度、家庭结构、宗教信仰、是否知道健保提供免费抹片检查对受检与否具有预测力;能用因素中的四个变项:平均月收入、地区别、过去一年内是否接到电话或信函通知、收到通知的受检地点是否方便对受检与否具有预测力;需要因素中的一个变项:收到通知的受检时间是否合适对受检与否具有预测力;本研究所建立的阶层逻辑斯回归模型的整体预测正确率为74.1﹪。

Multiple regression techniques were used to discern whether increasing case number was associated with improved perioperative and 2-year minimum radiographic and clinical outcomes. The 96 cases were divided into 4 equal quartiles of 24 cases/group (i.e., Q1-Q4) and compared using analysis of variance measures.

使用多元回归技术辨别是否随着病例数的增加,初始和2年后围手术期的最小放射线剂量和临床结果有差别。96例患者被分成平均的4组,每组24人(i.e。,Q1-Q4),并使用方差分析的方法进行比较。

Results: Multiple regression model analysis revealed significant effects of all grip related factors such as pen grip style, direction of penpoint and distance between penpoint and pen holding point on writing speed via complex interrelationship with each other and other non grip related variables.

结果︰多重回归模式分析结果显示所有握笔相关特徵(例如握笔方式、笔尖方向以及笔尖与握笔点间距)都可能对书写速度有显著影响效果,并藉由复杂相互关系与其他变项共同产生影响效果。

Data obtained were analyzed by Chi-square test, t-test, One-way MANOVA and multiple stepwise regression analysis.

调查所得的资料分别以卡方考验、t考验、单因子多变量变异数分析、多元逐步回归分析等统计方法进行处理。

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