Describes the statistical principles of good experimental design, explaining that good design of experiments is crucial to the success of research. Emphasizing the logical principles of statistical design, Professor Mead employs a minimum of mathematics. Throughout he assumes that the large-scale analysis of data will be performed by computers and he thus devotes more attention to discussions of how all of the available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from medicine, agriculture, industry, and other disciplines. Numerous exercises are given to help the reader practice techniques and to appreciate the difference that good design of experiments can make to a scientific project.
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"Simply superlative...concepts and principles are presented with clarity, balance, and thoroughness." Ecology
"A systematic and comprehensive coverage of statistical principles as applied to the design of scientific experiments...The book is well-written and contains very useful information that is relevant to a variety of scientific disciplines." Choice
"A systematic and comprehensive coverage of statistical principles as applied to the design of scientific experiments...The book is well-written and contains very useful information that is relevant to a variety of scientific disciplines." Choice
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The statistical principles of good experimental design are explained by employing a minimum of mathematics and emphasizing the logical principles of statistical design.
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First Sentence:
In an experiment to compare different treatments, each treatment must be applied to several different units. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
split unit designs, weighted concurrences, ten weed species, wet hormone, blocking classification, dry hormone, treatment mean yields, complete factorial structure, field crop experiments, randomised complete block design, unit treatment levels, completely randomised design, confounding system, mowing treatments, randomisation distribution, randomised block design, generalised interaction, dummy factors, main effect comparisons, treatment mean square, generalised variance, hidden replication, variance identity, split plot treatments, unbiassed estimate Key Phrases - Capitalized Phrases (CAPs): (learn more)
Column Row, Treatment Block, Upton Grey, Alternating Dark, Hence Var, Pogo Pogl, Row Column, San Cristobal New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
In an experiment to compare different treatments, each treatment must be applied to several different units. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
split unit designs, weighted concurrences, ten weed species, wet hormone, blocking classification, dry hormone, treatment mean yields, complete factorial structure, field crop experiments, randomised complete block design, unit treatment levels, completely randomised design, confounding system, mowing treatments, randomisation distribution, randomised block design, generalised interaction, dummy factors, main effect comparisons, treatment mean square, generalised variance, hidden replication, variance identity, split plot treatments, unbiassed estimate Key Phrases - Capitalized Phrases (CAPs): (learn more)
Column Row, Treatment Block, Upton Grey, Alternating Dark, Hence Var, Pogo Pogl, Row Column, San Cristobal New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 3
books:
7
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- Experimental Designs by William Gemmel Cochran in Back Matter
- Outliers in Statistical Data (Wiley Series in Probability & Statistics) by Vic Barnett in Back Matter
- Planning of Experiments (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section) by D. R. Cox in Back Matter
- Design of Experiments for Agriculture and the Natural Sciences Second Edition by A. Reza Hoshmand on page 12, and page 233
- Physics and Mechanics of Soil Liquefaction by Poul V. Lade on page 245
- Breakthroughs in Statistics: Volume 2: Methodology and Distribution (Springer Series in Statistics / Perspectives in Statistics) by Samuel Kotz on page 80
- Experimental Research Design and Analysis: A Practical Approach for Agricultural and Natural Sciences by A. Reza Hoshmand on page 13
- Doing Research in Business and Management: An Introduction to Process and Method by Dan Remenyi on page 204
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