本书旨在讲述数据调查和统计分析中运用的重要方法，实验设计和分析。书中详细介绍了实验设计过程以及正态分布数据的分析方法，重点强调需要考虑有实际背景和具体目标的实验设计和分析。为了保证数据的可靠性和真实性，书中几乎所有的数据或来自实际数据、或统计专业的学生取得、或应用科学领域、或者科学文献中已经公布的。本书从实验设计和分析的基本原理和技巧出发，继而讲述了一揽子的实验设计、处理对比估计和方差分析。这些基本知识列举了大量的应用。每章末都附有大量的学习统计软件SAS的知识，然而书中的知识可以和任何统计软件结合。

Preface

1.Principles and Techniques

 1.1.Design: Basic Principles and Techniques

1.1.1.The Art of Experimentation

　　1.1.2.Replication

　　1.1.3.Blocking

　　1.1.4.Randomization

　1.2.Analysis: Basic Principles and Techniques

2.Planning Experiments

　2.1.Introduction

　2.2.A Checklist for Planning Experiments

　2.3.A Real Experiment——Cotton-Spinning Experiment

　2.4.Some Standard Experimental Designs

　　2.4.1.Completely Randomized Designs

　　2.4.2.Block Designs

　　2.4.3.Designs with Two or More Blocking Factors

　　2.4.4.Split-Plot Designs

　2.5.More Real Experiments

　　2.5.1.Soap Experiment

　　2.5.2.Battery Experiment

　　2.5.3.Cake-Baking Experiment

 Exercises

3.Designs with One Source of Variation

4.Inferences for Contrasts and Treatment Means

5.Checking Model Assumptions

6.Experiments with Two Crossed Treatment Factors

7.Several Crossed Treatment Factors

8.Polynomial Regression

9.Analysis of Covariance

10.Complete Block Designs

11.Incomplete Block Designs

12.Designs with Two Blocking Factors

13.Confounded Two-Level Factorial Experiments

14.Confounding in General Factorial Experiments

15.Fractional Factorial Experiments

16.esponse Surface Methodology

17.andom Effects and Variance Components

18.estde Models

19.plit-Plot Designs

A.ables

Bibliography

Index of Authors

Index of Experiments

Index of Subjects