1、

Optimum Control of Significance Level α in Statistical Hypothesis Testing

统计假设检验中显著性水平α的最优控制

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2、

Attach great importance to statistical hypothesis testing in medical and biological treatises

重视医学生物学学术论文中的统计假设检验

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3、

On Choice of Null Hypothesis in Statistical Parameter Hypothesis Testing

关于参数假设检验中零假设的选择

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4、

This paper deals with the identification and elimination of model errors on the basis of the Kalman filtering models. Some test methods of statistical hypothesis for testing the significance of model errors are proposed. Estimation methods and formulas of model errors are given and explored.

本文在简述卡尔曼滤波模型基础上讨论了模型误差的检验和估计问题,提出了检验卡尔曼滤波模型误差显著性的几种统计假设检验方法,探讨并给出了估计模型误差的方法和公式。

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5、

In addition, the multiple fuzzy hypothesis testing is studied from the Bayesian statistical viewpoint.

另外在贝叶斯统计的观点下,研究了多重模糊假设检验问题.

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6、

This article use statistical methods, including multiple linear regression analysis, testing hypothesis, to analyze the theory test of civil aviation pilots' license.

本文对民航飞行员执照理论考试进行综合分析,分析的方法采用统计学的方法,包括多元线性回归分析,假设检验等。

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7、

This essay derived the estimated quantity of the model parameters and F statistical quantity of the hypothesis testing for unperfect block design by using parameter estimation and variation analysis of linear model. So it helps to get further conclusion of block design and factorial analysis.

用线型模型的参数估计与方差分析知识,对全套重复的不完全区组设计问题进行分析,找出了模型参数的估计量,并给出了假设检验的F统计量。

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