1) conditional density
条件密度
1.
Under m-dependent sample,the point-wise empirical like lihood confidence interval for a conditional density is constructed based on the double kernel estimator of the conditional density.
在m-相依样本情形下基于条件密度的双重核估计构造了条件密度的经验似然置信区间。
2.
The strong consistency of the double kernel estimators of conditional density is studied by using Bernstein inequality for weighted sum under mixing samples.
对 －混合样本，应用加权和形式的Ｂｅｒｎｓｔｅｉｎ不等式讨论条件密度双重核估计的强相合性。
2) conditional density
条件性密度
3) Class-conditional-density estimation
类条件密度估计
4) conditional probability density
条件概率密度
1.
This paper not only gives the conditional distribution law of the discrete random variables,but also obtains the conditional probability density of the continuous random variables by using random mathematical method.
本文运用随机数学的方法,给出了离散型随机变量的条件分布律和连续型随机变量的条件概率密度,从而解决了食品包装中的相应问题。
5) conditional posterior density
条件后验密度
1.
We propose a method for proving two matrix identities, which are often used in statistical analysis, based on knowledge of conditional posterior density.
提出了用求条件后验密度的方法证明统计分析中的两个矩阵等式的方法。
6) the condition of density adding
密度相加条件
补充资料：非密度制约因素(见密度制约因素)
非密度制约因素(见密度制约因素)
l焦非密度制约因素见生态因素、密度制约后
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