1) multivariate normality
多元正态性
1.
This paper discusses two main methods for multivariate normality testkafang plot method and principal component method,introduces their basic principles and specific steps of implementation,and compares their advantages and disadvantages by examples.
讨论了多元正态性检验的两种主要方法——卡方图检验法和主成分检验法,介绍了其基本原理和具体实施步骤,并通过实例研究比较它们的优劣,发现主成分检验法具有更好的功效和更强的实用性。
3) multivariate normal distribution
多元正态分布
1.
Improvement of interval estimation for generalized variance in multivariate normal distribution;
多元正态分布广义方差区间估计的改进
2.
To develop and validate a new way to test random distributions and multivariate normal distributions by using simulation,based on the principle of Q-Q and the property of conditional probability and linear regression.
分别根据Q-Q图法的原理以及条件概率性质和线性回归性质检验一般分布和多元正态分布,利用模拟方法验证。
3.
A integral inference method for multivariate normal distributions is presented.
提出多元正态分布整体推断方法。
5) multivariate normalized probability type
多元正态概率型
6) MCN distribution
多元复正态分布
补充资料：多元
1.多种多样。
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参考词条