Design and Analysis of Experiments

About this book

Provides a comprehensive introduction to modern experimental design at a level appropriate for advanced undergraduate and beginning graduate students. Includes the design and analysis of many real experiments, and sample SAS programs are included.

Contents

Principles and Techniques * Planning Experiments * Designs With One Source of Variation * Inferences for Contrasts and Treatment Means * Checking Model Assumptions * 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

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