人们以前常常采用古典线性回归模型对住院费用进行分析，但是古典线性回归模型是建立在一些假设之上的。
People used to analyze hospitalization expense with general linear models, but general linear model is built on some hypothesis.
倘若条件独立性假设确实满足，朴素贝叶斯分类器将会比判别模型，譬如逻辑回归收敛得更快，因此你只需要更少的训练数据。
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.
对于广义回归模型，人们也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.
对统计算法中回归模型中的假设条件、平滑指数的自适应调整、ARMA模型的参数估计作了一些分析。
We make analyses of the three hypotheses of regression. Adaptive adjustment of smoothing index parameters and parameter estimation of ARMA models.
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，对理论假设和模型进行验证。
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.
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、多元回归分析等方法对模型所包含的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.
以烟碱为例，建立了近红外光谱的预测模型，采用回归分析法和假设检验法对该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.
最后，通过问卷设计和问卷调查，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.
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的概念模型和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.
用相关浅析浅析、回归浅析浅析等策略对研究假设予以检验，并对实证模型进行修正。
Using correlation analysis, regression analysis and other methods to test research hypothesis, and reversed the empirical model.
用相关浅析浅析、回归浅析浅析等策略对研究假设予以检验，并对实证模型进行修正。
Using correlation analysis, regression analysis and other methods to test research hypothesis, and reversed the empirical model.
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