1) Conditional density process
条件密度过程
2) conditional density of stationary process
平稳过程的条件密度
3) conditioned superprocess
条件过程
1.
The Laplace function ofthe conditioned superprocessofX aboutH,the H-transform ofX,is given.
给出了X 关于H 的条件过程(即X 的H 变换)的Laplace 泛
4) 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。
5) conditional Markov process
条件Markov过程
6) conditional polsson process
条件Poisson过程
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