试验设计与方差分析

试验设计与方差分析Tag内容描述：<p>1、CH4 方差分析 极差分析方法的不足： （1）R=因素水平效应最大差+随机误差，并不能回答因素 水平改变对测试指标的影响与随机误差对试验指标 的影响各占的比例多少的问题。 （2）R分析所判定的主次顺序是相对的，不能回答各因素 对试验结果确切的影响程度。 （3）R分析精度低。 1 1 方差分析可解决的问题(特点)： 判定试验数据波动是由考虑因素引起的还是 由随机误差引起的 在一定置信度下，各因素对试验指标影响的 显著性检验 精确地判定因素对试验结果影响的主次顺序 及较优水平组合条件 2 2 第一节 单因素重复试验时的方差分析 eg: 单因。</p><p>2、第八章 实验设计和方差分析,学习目标,描述方差分析 (ANOVA) 解释ANOVA基本原理 比较实验设计 2 个或更多均值相等的检验 完全随机设计 析因设计,实验,实验,调查者控制一个或更多独立变量 被叫做处理变量或因素 包含两个或更多水平 (子类) 观察对应变量的影响 独立（自）变量对不同水平的反应 实验设计: 用于检验假设的计划,实验例子,抽取三十个商店随机设定商店成列为4级当中的一个级别（独立变量），观察对销售的影响（应变量）. 抽取两百个客户随机设定果汁品牌3级中的一个级别（独立变量）， 研究客户对品牌果汁的反应，（应变量）.,实。</p><p>3、Chapter 1 Introduction to Design of Experiment DOE and Analysis of Variance ANOVA Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter1Chapter 1 Introduction to Design of Experiment DOE a。</p><p>4、Chapter 9 Two level Factorial Designs Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter9Chapter 9 Two level Factorial Designs Introduction of Two level Factorial Designs Factorial expe。</p><p>5、Chapter 5 Random and Mixed Eff ects Models Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter5 Chapter 5 Random and Mixed Eff ects Models Intuition of random and fi xed eff ects models。</p><p>6、MINITAB User s Guide 23 1 MEET MTBUGUIDE 1SC QREFUGUIDE 2INDEXCONTENTSHOW TO USE MEET MTBUGUIDE 1SC QREFUGUIDE 2INDEXCONTENTSHOW TO USE 3 Analysis of Variance IAnalysis of Variance Overview 3 2 IOne W。</p><p>7、1 Solution a Factor A bottle type low level for the glass type and high for the plastic Factor B worker low level for the first and high for the second b Data structure Factor Replicate A B 1st 2nd 3r。</p><p>8、Chapter 4 Multi factor ANOVA Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter4Chapter 4 Multi factor ANOVA Intuition of Multi factor ANOVA Last chapter we focused on the one way singl。</p><p>9、Chapter 2 Basic Statistical Methods Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter2Chapter 2 Basic Statistical Methods Outline of this Chapter Basic statistical concepts One populat。</p><p>10、Chapter 11 Repeated Measures and Related Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter11Chapter 11 Repeated Measures and Related Outline of this Chapter Repeated measures and relat。</p><p>11、Chapter 10 Two level Fractional Factorial Designs Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter10Chapter 10 Two level Fractional Factorial Designs Intuition of Two level Fractional。</p><p>12、Chapter 6 Regression Approach to ANOVA and Analysis of Covariance ANCOVA Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter6Chapter 6 Regression Approach to ANOVA and Analysis of Covari。</p><p>13、Summary of Chapter 6 11 Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Summary of Chapter 6 11Summary of Chapter 6 11 What have you learned in this course 1 Introduction to Design of Experi。</p><p>14、Chapter 8 Experiments with Blocking Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter8Chapter 8 Experiments with Blocking Experiments with Blocking In this chapter we start talking abo。</p><p>15、Chapter 7 Introduction to the Design of Experiment DOE Jingyuan Liu SOE and WISE Xiamen University DOE and ANOVA Chapter7Chapter 7 Introduction to the Design of Experiment DOE Introduction to DOE As w。</p>