ABSTRACT

Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experiment

chapter 1|12 pages

Introduction

chapter 2|24 pages

Linear statistical models

chapter 3|18 pages

Completely randomized designs

chapter 5|20 pages

Latin squares and related designs

chapter 7|20 pages

Balanced incomplete block designs

chapter 8|14 pages

Random block effects

chapter 9|24 pages

Factorial treatment structure

chapter 10|20 pages

Split-plot designs

chapter 11|20 pages

Two-level factorial experiments: basics

chapter 12|20 pages

Two-level factorial experiments: blocking

chapter 14|14 pages

Factorial group screening experiments

chapter 17|14 pages

Introduction to optimal design