Efficiency in Minitab

This simple Minitab simulation exercise illustrates the concept of efficiency of estimators. Students compare the sampling distributions of the sample mean, median and mid-range from a normal distribution and from a uniform distribution. The striking differences observed give rise to much discussion.     

Elementary Statistics with Minitab

Computer packages are available which can take much of the tedium out of the computational aspects of statistics and, we hope, thereby improve comprehension of the concepts. This article describes how the software package Minitab was incorporated into two elementary statistics courses, one at Kingston Polytechnic in England, the other at the University of North Carolina at Charlotte in the United States.     

Resampling with Excel

Standard Microsoft Excel functions and the Excel Data Table facility are used in randomization applications using resampling with and without replacement.     

Resampling with TinkerPlots

The constructivist data handling software TinkerPlots is used to carry out resampling in a manner that illustrates the stages of the process without the need for programming skills.     

Minitab Menus-Do They Help or Hinder?

A comparison of the levels of difficulty experienced by students in the use of Minitab through its menu interface and its command language showed no advantavge in using the menus.     

Teaching Statistics through Resampling

This paper describes experiences of teaching statistics without mathematical theory but using computer-intensive re-sampling methods. The method is relevant to statistics teaching at all levels.     

Minitab实现有交互作用的正交实验的设计与结果分析

生产、实验中,经常要进行同时考察多因素以及各因素交互影响的实验研究,本文详细讲解了用Minitab软件实现有交互作用的正交实验设计和结果分析的过程,为相关实验人员、学生提供科学、高效的实验方法。     

An Introduction to the Bootstrap

This article presents bootstrap methods for estimation, using simple arguments. Minitab macros for implementing these methods are given.     

Using Resampling to Compare Two Proportions

This article shows that when applying resampling methods to the problem of comparing two proportions, students can discover that whether you resample with or without replacement can make a big difference.     

Minitab的聚类分析在模块化产品设计中的应用

为了满足用户需求的个性化、多样化和差异化,企业的生产模式也由传统的大规模生产慢慢向大规模定制转变。通过利用Minitab软件中的聚类分析对模块进行合理划分,实现零部件的批量生产和规模效应,最终实现产品定制成本的下降和产品交货期缩短的目标。     

基于Minitab软件的病毒性肝炎发病率预测

利用Minitab软件中的时间序列预测方法,对病毒性肝炎的发病率进行预测,发现利用Minitab进行传染病发病率预测,预测精度较高,可为传染病发病率预测提供一种切实可行的方法。     

基于Bootstrap法的核估计逼近

从分布密度函数为f的总体中抽取独立同分布的样本X1,…,Xn,μ=EX1研究密度泛函θ=f(μ)的核型估计fn()的Bootstrap逼近问题.     

基于Minitab的MEMS测量系统偏倚及线性研究

对测量误差的大小及能否接受的判断需要进行测量系统分析,从而可以减少因仪器设备引起的误差,并得到测试数据中所隐含的信息。介绍了进行测量系统偏倚及线性分析的概念及方法,在消音室用B&K测试仪对MEMS微传声器频响、灵敏度测得了参考值并使用在线测量系统对标准样品测得了相关数据,运用Minitab软件对测量系统在0.10、1.00、3.15和8.00 kHz等不同频点的偏倚及线性进行了分析,提出了复合测量系统的概念,并对此进行了有效的分析。根据研究结果,找到了运用整体偏倚值对测量系统进行修正的方法,并用Minitab对改善后的测量系统进行了预测,应用于生产实际后,大大提高了MEMS微传声器测量系统测试数据的可靠性。     

非参数bootstrap方法及其MATLAB实现

介绍非参数bootstrap方法的实现步骤,并通过具体实例,利用MATLAB强大的编程和计算功能实现了非参数bootstrap方法。     

几何操作中重采样问题的数据并行实现

通过SIMD PE阵列之间的数据并行传送,数据并行实现重采样,使实现重采样的复杂度由存储器数据流访问实现方法的Ο（MN）降低到Ο（M＋N）,从而大大提高了处理速度,能更好地满足图像快速实时处理的需要.