Design and analysis of experiments

The design and analysis of experiments is an essential part ofinvestigation and discovery in science, of process and productimprovement in manufacturing, and of comparison of competing protocolsor treatments in the applied sciences.

This book offers a step by stepguide to the experimental planning process and the ensuing analysis ofnormally distributed data.Design and Analysis of Experiments emphasizes the practicalconsiderations governing the design of an experiment based on theobjectives of the study and a solid statistical foundation for theanalysis.

Almost all data sets in the book have been obtained fromreal experiments, either run by students in statistics and the appliedsciences, or published in the scientific literature.

Details of theplanning stage of numerous different experiments are discussed.

Thestatistical analysis of experimental data is based on estimablefunctions and is developed with some care.Design and Analysis of Experiments starts with basic principles andtechniques of experimental design and analysis of experiments.

Itprovides a checklist for the planning of experiments, and explains theestimation of treatment contrasts and analysis of variance.

Thesebasics are then applied in a wide variety of settings.

Designs coveredinclude completely randomized designs, complete and incomplete blockdesigns, row-column designs, single replicate designs withconfounding, fractional factorial designs, response surface designs,and designs involving nested factors and factors with random effects,including split-plot designs.The book is accessible to all readers who have a good basic knowledgeof expected values, confidence intervals and hypothesis tests.

It isideal for use in the classroom at both the senior undergraduate andthe graduate level.

A guide to the use of the SAS System computer