1) Bayes discriminant analysis
Bayes判别分析
1.
Bayes discriminant analysis method of rock-mass quality classification;
岩体质量分级的Bayes判别分析方法
2.
A Bayes discriminant analysis is developed in the paper, in which the threshold of classification can be determined according to the risk level we take.
建立了一套完整的Bayes判别分析方法，并提出了明确的衡量综合预测结果所冒风险大小的风险代价比Kdn该方法可用于不同时间尺度的地震综合预测。
3.
Based on the principle of Bayes discriminant analysis,a Bayes discriminant model for evaluating expansive soil is established.
基于Bayes判别分析法以建立膨胀土判别与胀缩等级分类的Bayes判别分析模型。
2) Bayesian Procedure
Bayes判别
1.
Bayesian Procedure of the minimum posterior risk based on logarithmic normal distribution;
对数正态分布的最小后验风险Bayes判别
4) Bayes discrimination
Bayes判别
1.
armigera (Hübner) generation degree in Hubei Province from 1954 to 1997, and applying the method of Bayes discrimination analysis, discriminant models of the H.
根据湖北省主要产棉区 195 4～ 1997年棉铃虫第 3、4代发生程度的系统资料 ,应用Bayes判别分析原理 ,建立了棉铃虫发生程度的判别分析模型。
2.
Bayes discrimination function was found out by stepwise discrimination getting the preparative and very marked discrimination variables.
用逐步判别法筛选出最有显著判别能力的变量建立Bayes判别函数,利用此判别函数对过期妊娠患者分娩方式进行回代判别及五个病例的预测判别,均收到满意的效果。
5) Bayes discriminant analysis
Bayes判别
1.
A method to forecast the risk classification of major hazards by using the Bayes discriminant analysis theory is presented in this paper.
选取矿井煤与瓦斯突出危险程度分级作为研究的实例,提出了重大危险源分级的Bayes判别分析法。
6) discrimination analysis
判别分析
1.
Forecasting wheat stripe rust by discrimination analysis;
利用判别分析方法预测小麦条锈病
2.
Empirical Study on Discrimination Analysis Algorithm of Listed Companies Financial Situation;
上市公司财务状况判别分析算法的实证研究
3.
The ore bearing capability of the fracture was studied by use of structure geochemistry-discrimination analysis method and through discussing on its discrimination indicators taking the Jiawula silver polymetallic deposit as example.
以呼盟甲乌拉银多金属矿床为例,利用构造地球化学-判别分析方法,通过对其判别标志的探讨,研究断裂构造的含矿性。
补充资料：判别分析预测法(见发生量预测)
判别分析预测法(见发生量预测)
discriminatory analysis for forecast
判别分析预测法(diseriminatory analysisfor foreeast)又叫分辨分析法，是用判别函数预测害虫发生量的方法。其步骤为:将预报因子和预报量分为2级或多级，对预报因子进行线性组合，构成一个判别函数;先确定一个临界值作分辨指标，然后计算判别函数式中的系数，求出临界值;应用时，将预报因子的实查值代入判别函数式，求出预报值，将此值与临界值相比较，可预报害虫的发生量。 判别函数通式将预报因子的数据进行线性组合: 尸y~习c、·x、(1) 左=l式中夕为预报量;P为预报因子个数;x、(k二1，2，……，尸)为预报因子;c、为系数。二级判别法中的x分为2级，故(l)式为:〕一clxl+cZxZ(2)则y值亦分2级，可确定一个y。为分辨指标，当夕)yc时为A级，夕
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条