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1.
Asymptotic Normality of Sample Correlation Coefficient of a Bivariate Normal Distribution
二元正态总体样本相关系数的渐近正态性
2.
The Test of Signal to Noise Ratio and the Simultaneous Test for Parameters of Normal Population
正态总体信噪比检验和参数的同时检验
3.
ML Estimation of the Common Mean of a Bivariate Normal Population;
二维正态总体共同均值的极大似然估计
4.
The Optimized Confidence of the Ratio of the Two Normal Random Variables;
正态总体方差比的优化置信区间问题
5.
The Bayesian Hypothesis Testing of a few Non-normal Parameters;
一类非正态总体未知参数的Bayes假设检验
6.
An approach for pseudo random number generation of the three statistics from normal distribution;
正态总体统计量计算机随机数的生成方法
7.
METHOD OF ESTIMATE STANDARD OF TEACHING;
应用正态总体假设检验评价教师教学水平
8.
A Testing Hypothesis for two Normal Population Parameters in the Linear Relation;
两个正态总体参数的线性关系的假设检验
9.
Hypothesis Testing of Normal Population Mean and Its Application in Excel
正态总体均值的假设检验及其在Excel中的实现
10.
Empirical Likelihood Ratio Confidence Interval Estimation for Normal Population Parameters
正态总体均值方差的经验似然比置信区间估计
11.
The Best Likelihood Ratio Test for Ratio of Variances from Two Independent Normal Populations
正态总体方差的最佳双边似然比检验
12.
Interval Estimation of Means and Variances from Normal Populations under Simultaneous Order Restrictions Based on Bootstrap;
基于bootstrap方法序约束下正态总体均值和方差区间估计
13.
Statistical Inference on Normal Population When Mean of Some Variables Varies with Group;
部分变量均值随组别变动情况下正态总体的统计推断
14.
The most stringent somewhere most powerful one sided test of the asymptotic multivariate normal population mean--The application of the ranked set sample;
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
15.
The Role of Consultative Variable and Moderator During the Analysis of ANOVA and TEST;
正态总体检验和相关分析时应重视参照变量和调节变量的作用
16.
Testing Ratios of Means to Standard Deviations from Normal Populations under Order Restrictions with Generalized p Values
正态总体均值与标准差比在序约束下的广义p-值检验
17.
Comparison of Simultaneous Intervals for the Mean of a Multivariate Normal Distribution
单个多元正态总体均值向量联合置信区间的比较(英文)
18.
This paper proposed an algorithm for finding critical value of normal population variance under unbiassed tests with uniform dominance.
本文给出了求正态总体方差的一致最优化无偏检验的临界值的算法。