Experimental design is essential for statistical work in many fields including medicine, agriculture, and engineering. This book will serve as a modern and comprehensive reference. The book includes sample SAS programs.

Provides a comprehensive introduction to modern experimental design Offers a step-by-step guide to the planning process, including a planning checklist, and emphasizes practical considerations A wide variety of experiment designs are presented Nearly all data sets in the book have been derived from real experiments Details of the planning stage of numerous different experiments are discussed Explains all the basics of analysis including estimation of treatment contrasts and analysis of variance, and applies these in a wide variety of settings Sample SAS programs are included

Autorentext
Experimental design is essential for statistical work in many fields
including medicine, agriculture, and engineering. This book will serve
as a modern and comprehensive reference. The book includes sample SAS
programs.

Inhalt
Principles and Techniques.- Planning Experiments.- Designs with One Source of Variation.- Inferences for Contrasts and Treatment Means.- Checking Model Assumptions.- 6 Experiments with Two Crossed Treatment Factors.- Several Crossed Treatment Factors.- Polynomial Regression.- Analysis of Covariance.- Complete Block Designs.- Incomplete Block Designs.- Designs with Two Blocking Factors.- Confounded Two-Level Factorial Experiments.- Confounding in General Factorial Experiments.- Fractional Factorial Experiments.- Response Surface Methodology.- Random Effects and Variance Components.- Nested Models.- Split-Plot Designs.