• 本课程中,学生将学习统计分析假设检验回归分析等知识在商业决策中的应用

    Students examine the application of statistical analysis, hypothesis testing, and regression analysis in business decision making.

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  • 寿险精算中,古典线性回归模型假设很难得到满足。

    In non-life insurance, the hypothesis of general linear model is hard to be satisfied.

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  • 运用置信区间分析假设检验类分析、回归分析数理统计分析方法。

    I use mathematical statistics analysis, such as confidence intervals, hypothesis testing, K-means Cluster, regression analysis and so on.

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  • 对统计算法回归模型中的假设条件平滑指数自适应调整、ARMA模型的参数估计了一些分析。

    We make analyses of the three hypotheses of regression. Adaptive adjustment of smoothing index parameters and parameter estimation of ARMA models.

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  • 人们以前常常采用古典线性回归模型住院费用进行分析但是古典线性回归模型建立一些假设之上的。

    People used to analyze hospitalization expense with general linear models, but general linear model is built on some hypothesis.

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  • 回归其实一个简单神经网络形式数据有关一些额外的假设

    Regression is actually a simple form of Neural Networks with some additional assumptions about the data.

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  • 结构效度评价回归分析结果事先假设具有相当一致性

    The stepwise linear regression results and our assumption keep rather consistent in the assessment of structure validity.

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  • 倘若条件独立性假设确实满足,朴素贝叶斯分类器将会判别模型,譬如逻辑回归收敛得更快因此需要更少训练数据

    If the NB conditional independence assumption actually holds, a Naive Bayes classifier will converge quicker than discriminative models like logistic regression, so you need less training data.

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  • 最后,通过问卷设计问卷调查,建立回归模型,采用定量分析对所提出的假设进行检验

    Then, data are collected from the sample and statistical analyses are conducted to test the hypotheses addressed above.

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  • 对于广义回归模型人们总是假设数据具有名义离差否则统计推断更加困难

    For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.

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  • 研究方法:局部线性回归回归分析假设检验

    Methods of local linear regression, analysis of regression and hypothesis testing were employed.

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  • 采用描述性统计分析、单因素方差分析、相关分析、回归分析等统计分析方法对调查数据进行分析,对理论假设模型进行验证。

    In the data analysis, theoretical assumptions and model was tested through Descriptive Statistical analysis, ANOVA, Bivariate Correlations analysis, and Linear Regression analysis and so on.

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  • 假设企业价值不变因为债务还清,价值回归股东从而产生股权收益。

    Assuming the enterprise value remains unchanged, as debt is repaid, value reverts to the equity holders, thereby.

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  • 烟碱为,建立红外光谱预测模型,采用回归分析法假设检验法模型的预测效果进行了系统的评价

    Near infrared prediction model was established to predict content of nicotine in tobacco. Evaluation on the prediction results was made by regression analysis and hypothesis testing.

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  • 其次研究采用我国2006年私营企业调查的数据,通过因子分析多元回归分析方法对模型所包含假设进行了实证检验。

    Secondly, using the 2006 survey of Chinese private enterprises, this study attests those hypotheses through several methods such as factor analysis and multiple regression analysis.

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  • 此外,笔者利用回归分析探讨组织承诺企业文化之间的相互影响关系,对研究假设进行检验

    The author also conducts regression analysis to discuss the correlation between corporate culture and organizational commitment to test the hypothesis.

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  • 最后通过采用因子分析方差分析、多元回归分析等统计方法对所提出概念模型研究假设进行了验证和分析。

    Finally, by using factor analysis, variance analysis and multiple regression analysis, this paper verifies the above conceptual model and research hypothesis.

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  • 相关浅析浅析、回归浅析浅析策略研究假设予以检验实证模型进行修正。

    Using correlation analysis, regression analysis and other methods to test research hypothesis, and reversed the empirical model.

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  • 本文则讨论加权非线性回归方差齐性的假设检验问题。

    In this paper, we extend their result to nonlinear regression.

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  • 第四部分实证分析通过描述性统计、相关分析和回归分析研究假设进行检验。

    The fourth part is the empirical analysis part, using descriptive analysis, correlation analysis and regression analysis method to examine the research hypothesis.

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  • 在实证部分提出假设,进行描述行统计分析参数检验分析、因素方差分析、相关性分析多元线性回归分析。

    The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

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  • 我们还建立估算衡量产品线聚集度指标利用面板数据进行的最小二乘法回归分析,一定程度上支持理论假设

    We develop and estimate a new concentration index of product line under the segment markets. The results of regression with panel data partially support our theoretical hypothesis.

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  • 我们还建立估算衡量产品线聚集度指标利用面板数据进行的最小二乘法回归分析,一定程度上支持理论假设

    We develop and estimate a new concentration index of product line under the segment markets. The results of regression with panel data partially support our theoretical hypothesis.

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