Design of Comparative Experiments develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. These diagrams are used to elucidate structure, calculate degrees of freedom and allocate treatment sub-spaces to appropriate strata. Good design considers units and treatments first, and then allocates treatments to units. Based on a one-term course the author has taught since 1989, the book is ideal for advanced undergraduate and beginning graduate courses. This book should be on the shelf of every practicing statistician who designs experiments.
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Editorial Reviews
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"... a carefully planned, well-organized [manner]. Using very simple language, Bailey makes every effort to make this book enjoyable to read, and to bring appreciation to and a deep understanding of the concepts and issues in experimental designs."
D.V. Chopra, Wichita State University for Choice Magazine
D.V. Chopra, Wichita State University for Choice Magazine
Book Description
For every practising statistician who designs experiments, a coherent framework for the thinking behind good design. Also ideal for advanced undergraduate and beginning graduate courses. Examples, exercises and discussion questions are drawn from a wide range of real applications: from drug development, to agriculture, to manufacturing.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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orthogonality principle, unstructured plots, treatment subspace, orthogonal block design, skeleton analysis, randomized plan, second large block, three treatment factors, null analysis, crude sum, freedom mean mean, more treatment factors, factorial treatment structure, first large block, unstructured treatments, supplemented balance, one treatment factor, two treatment factors, stratum variance, ignoring treatments, fractional replicate, observational units, equal replication, principal block, units stratum Key Phrases - Capitalized Phrases (CAPs): (learn more)
Stratum Source, Draw the Hasse, Intersection Principle, Park Grass, Sum Principle, Hall's Marriage Theorem, Hall's Theorem, April Welsh, Pythagoras's Theorem, Uses of Latin, Plot Date Spacing Nitrogen, Proof Put, Definition Let, Blocking Table Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
orthogonality principle, unstructured plots, treatment subspace, orthogonal block design, skeleton analysis, randomized plan, second large block, three treatment factors, null analysis, crude sum, freedom mean mean, more treatment factors, factorial treatment structure, first large block, unstructured treatments, supplemented balance, one treatment factor, two treatment factors, stratum variance, ignoring treatments, fractional replicate, observational units, equal replication, principal block, units stratum Key Phrases - Capitalized Phrases (CAPs): (learn more)
Stratum Source, Draw the Hasse, Intersection Principle, Park Grass, Sum Principle, Hall's Marriage Theorem, Hall's Theorem, April Welsh, Pythagoras's Theorem, Uses of Latin, Plot Date Spacing Nitrogen, Proof Put, Definition Let, Blocking Table Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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