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试验设计与分析: 第6版 豆 0.0分
资源最后更新于 2020-09-05 22:06:43
作者:[美] 蒙哥马利
出版社:人民邮电出版社
出版日期:2007-01
ISBN:9787115156129
文件格式: pdf
标签: 数学 统计学 试验设计 统计 实验理论 质量 方法论 分析
简介· · · · · ·
《试验设计与分析》(英文版)(第6版)是关于试验设计与分析的名著,是作者在亚利桑那州立大学、华盛顿大学和佐治亚理工学院三所大学近30年试验设计教学经验和多年专业顾问经验的基础上编写的,内容包括简单比较试验、2k因素设计、响应曲面方法和设计、稳健参数设计和过程稳健性研究、随机因素试验、巢和分图设计等。
《试验设计与分析》(英文版)(第6版)适合作为统计人员、自然科学研究人员、工程技术人员、管理人员和教师进行科学试验设计与分析的参考书,也可用于农业类、生物类、统计类的高年级本科生、研究生的教学参考用书。
目录
Chpter1 Introduction
1.1 Strategy of Experimentation
1.2 Some Typical Applications of Experimental Design
1.3 Basic Principles
1.4 Guidelines for Desiging Experiments
1.5 A Brief History of Statistical Design
1.6 Summary:Using Statistical Techniques in Experimentation
1.7 Problems
Chapter2 Simple Comparative Experiments
2.1 Introduction
2.2 Basic Statical Concepts
2.3 Sampling and Sampling Distributions
2.4 Inferences about the Differenecs in Means,Randomized Designs
2.5 Inferences about the Differences in Means,Paired Comparison Designs
2.6 Inferences about the Variances of Normal Distributions
2.7 Problems
Chapter3 Experiments with a Single Factor:The Analysis of Variance
3.1 An Example
3.2 The Analysis of Variance
3.3 Analysis of the Fixed Effects Model
3.4 Model Adequacy Checking
3.5 Practical Interpretation of Results
3.6 Sample Computer Output
3.7 Determining Sample Size
3.8 Discovering Dispersion Effects
3.9 The Regression Approach to the Analysis of Variance
3.10 Nonparametric Methods in the Analysis of Variance
3.11 Problems
Chapter4 Randomized Blocks,Latin Squares,and Related Designs
4.1 The Randomized Complete Block Design
4.2 The Latin Square Design
4.3 The Graeco-Latin Square Design
4.4 Balanced Incomplete Block Designs
4.5 Problems
Chapter5 Introduction to Factiorial Designs
Chapter6 The 2k Factorial Design
Chapter7 Blocking and Confounding in the 2k Factorial Design
Chapter8 Two-Level Fractional Factiorial Designs
Chapter9 Three-Level and Mixed-Level Factorial and Fractional Factiorial Designs
Chapter10 Fitting Regression Models
Chapter11 Response Surface Methods and Eesigns
Chapter12 Robust Parameter Design and Process Robustness Studies
Chapter13 Experiments with Random Factors
Chapter14 Nested and Split-Plot Designs
Chapter15 Other Design and Analysis Topics
Bibliography
Appendix
Index
1.1 Strategy of Experimentation
1.2 Some Typical Applications of Experimental Design
1.3 Basic Principles
1.4 Guidelines for Desiging Experiments
1.5 A Brief History of Statistical Design
1.6 Summary:Using Statistical Techniques in Experimentation
1.7 Problems
Chapter2 Simple Comparative Experiments
2.1 Introduction
2.2 Basic Statical Concepts
2.3 Sampling and Sampling Distributions
2.4 Inferences about the Differenecs in Means,Randomized Designs
2.5 Inferences about the Differences in Means,Paired Comparison Designs
2.6 Inferences about the Variances of Normal Distributions
2.7 Problems
Chapter3 Experiments with a Single Factor:The Analysis of Variance
3.1 An Example
3.2 The Analysis of Variance
3.3 Analysis of the Fixed Effects Model
3.4 Model Adequacy Checking
3.5 Practical Interpretation of Results
3.6 Sample Computer Output
3.7 Determining Sample Size
3.8 Discovering Dispersion Effects
3.9 The Regression Approach to the Analysis of Variance
3.10 Nonparametric Methods in the Analysis of Variance
3.11 Problems
Chapter4 Randomized Blocks,Latin Squares,and Related Designs
4.1 The Randomized Complete Block Design
4.2 The Latin Square Design
4.3 The Graeco-Latin Square Design
4.4 Balanced Incomplete Block Designs
4.5 Problems
Chapter5 Introduction to Factiorial Designs
Chapter6 The 2k Factorial Design
Chapter7 Blocking and Confounding in the 2k Factorial Design
Chapter8 Two-Level Fractional Factiorial Designs
Chapter9 Three-Level and Mixed-Level Factorial and Fractional Factiorial Designs
Chapter10 Fitting Regression Models
Chapter11 Response Surface Methods and Eesigns
Chapter12 Robust Parameter Design and Process Robustness Studies
Chapter13 Experiments with Random Factors
Chapter14 Nested and Split-Plot Designs
Chapter15 Other Design and Analysis Topics
Bibliography
Appendix
Index