1.
The Optimized Confidence of the Ratio of the Two Normal Random Variables;
两正态总体方差比的优化置信区间问题
2.
The Best Likelihood Ratio Test for Ratio of Variances from Two Independent Normal Populations
两正态总体方差的最佳双边似然比检验
3.
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。
4.
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
5.
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
6.
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
7.
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
8.
Empirical Likelihood Ratio Confidence Regions for the Differences of Two Populations Variance
两总体方差差异的经验似然置信区间
9.
The method focuses on minimizing the ensemble mean square error of the estimation.
该方法可以估计的总体均方误差最小。
10.
The mean of a normally distributed population lies at the center of its normal curve.
正态分布总体的平均数在正态曲线的中心。
11.
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
12.
The Methods of Removing Instantaneous Attitude Errors for Multibeam Bathymetry Data
多波束测深瞬时姿态误差的改正方法
13.
Realizing the Test of Bartlett Homogeneity of Variance for N Population Variance in Excel;
在EXCEL中实现多总体方差的Bartlett齐性检验
14.
REGULARIZED TOTAL LEAST-SQUARES SOLUTION TO ILL-POSED ERROR-IN-VARIABLE MODEL
病态总体最小二乘模型的正则化算法
15.
The method of wave?front aberration for correcting astigmatism in semiconductor laser beams
校正半导体激光束像散的波像差方法
16.
How to count its surface area?
想：怎样计算正方体6个面的总面积？
17.
An Improved Homomorphic Filtering Method for Inhomogeneity Correction of Magnetic Resonance Images
改进的同态滤波方法校正磁共振图像中偏差场
18.
is the population standard deviation for the data range and is assumed to be known. Standard_dev must be greater than 0
假设为已知的总体标准方差，必须大于 0