这里须要疏解白的是,当我们关怀 有限样本 (finite sample) 的因果感化时,每个个别的潜伏成果 都是固定的,观测变量 的随机性仅仅因为“随机化” 本身导致的。
基于188个网页-相关网页
有限样本分布函数 [统计] finite sample distribution function
恰当有限样本分布 [数] exact finite sample distribution
有限样本检验法 [统计] finite sample testing method
有限样本频率函数 [统计] finite sample frequency function
有限样本信息准则 FSIC
也称为有限样本近似法 finite-sample approximation
有限样本性质 finite sample property
有限样本分布 finite sample distribution
检验的大样本理论被给出。我们还通过数值模拟研究了检验方法的有限样本性质。
The large sample theory of the proposed test is developed and the finite sample properties of the test are studied through simulations.
支持向量机是一种基于统计学习理论的机器学习方法,该理论主要研究在有限样本下的学习问题。
Support vector machine is a kind of machine learning algorithm based on statistical learning theory which mainly researches the learning of limited number of samples.
本文提出了一种有限样本集上基于次特征值误差补偿和优势主向量上非对称分布的马氏距离改进算法。
A modification on Mahalanobis distance on samples of limited size by compensation for errors of non-dominant eigenvalues and asymmetrical distribution on dominant principle components is proposed.
应用推荐