Based on the statistical and survey data of Beijing, the parameter distinguishing and the test of the model was carried out by utilizing uncertainty analysis.
基于北京的统计与调研数据，利用不确定性分析手段对该模型进行了参数识别与检验。
The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.
在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。
The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.
在实证部分，提出假设，进行描述行统计分析、参数检验分析、单因素方差分析、相关性分析和多元线性回归分析。
Methods Ultrasonic images of fatty and normal liver were identified by adopting texture analysis with statistical features and getting features parameter from gray histogram.
方法采用纹理分析法，从灰度直方图中提取特征参数，对脂肪肝和正常肝脏B超图像进行识别。
Methods Ultrasonic images of fatty and normal liver were identified by adopting texture analysis with statistical features and getting features parameter from gray histogram.
方法采用纹理分析法，从灰度直方图中提取特征参数，对脂肪肝和正常肝脏B超图像进行识别。
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