Application of bayesian statistics in benzene exposure assessment 统计学的应用研究
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An application of bayesian statistics to engine calibration experiment 基于贝叶斯方法的实时洪水校正模型
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Application of bayesian statistics inference techniques based on gis to the evaluation of habitat probabilities of bos gaurus readei 的贝叶斯统计推理技术在印度野牛生境概率评价中的应用
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A new method is proposed to select the number of principal component of pls in pls regression ; 3 . a variable selection method is proposed based on the combination of genetic algorithm and bayesian statistics and verified by simulation data ; 4 . a soft sensor model on the concentration of 4 - cba is proposed by using variable selection method based on real industrial data 本论文的主要研究工作概括如下： ( 1 )提出了一种基于pls和pca相结合的变量选择方法； ( 2 )提出了一种在pls回归中选择pls主成分个数的方法； ( 3 )提出了一种用遗传算法和贝叶斯统计方法相结合的变量选择方法，并通过仿真例子验证了其有效性； ( 4 )利用实际的工业数据，运用变量选择方法建立了一个关于4 - cba含量的软测量模型。
