multivariate population

On the test of the example from a multivariate normal population

关于多元正态母体子样的检验

Approximation Computing for Tolerance Factors in Multivariate Normal Population

多元正态总体情形下容许因子的近似计算

A PPS Sampling Method of Multivariate Finite Population

多元有限总体的PPS抽样方法

Implementation of test of hypothesis of multivariate normal population by using IML procedure and macro ;

在假设检验中，人们总希望犯两类错误的概率都很小，但这很难实现。

The most stringent somewhere most powerful one sided test of the asymptotic multivariate normal population mean & The application of the ranked set sample ;

最佳渐近正规估计量渐进多元正态总体均值最紧致某处最优势检验秩集样本的应用渐变为最大（G）

In a lot of backgrounds , we are required to give statistical inference of μ and Σ , which are parameters of multivariate normal population N_p (μ,Σ) .

许多实际问题要求对多元正态总体np（μ，∑）的μ和∑进行统计推断。

Abstract In this paper , we established basic methods and theories of multivariate sampling and proved the central limit theorem , this is the theoretical foundation of statistical inference in multivariate finite population .

较系统地建立了多元抽样的基本理论和方法。证明了多元有限总体样本的中心极限定理，这是多元有限总体抽样统计推断的理论基础。