Offers a comprehensive nonmathematical treatment regarding the design and analysis of experiments, focusing on basic concepts rather than calculation of technical details. Much of the discussion is in terms of examples drawn from numerous fields of applications. Subjects include the justification and practical difficulties of randomization, various factors occurring in factorial experiments, selecting the size of an experiments, different purposes for which observations may be made and much more.
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First Sentence:
This book is about the planning of experiments in which the effects under investigation tend to be masked by fluctuations outside the experimenter's control. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sampled qualitative factors, specific qualitative factors, units receiving different treatments, previous similar experiments, concomitant observations, carrier variable, uncontrolled variation, factorial system, residual standard deviation, fractional replication, challenging dose, whole plot treatments, mean fiber diameter, adjusted treatment, estimated treatment effects, agricultural field trial, randomized block experiment, concomitant variable, experimental units, estimated contrast, true treatment effects, paired comparison experiment, balanced incomplete block design, treatment occurring, equally spaced levels Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Babington Smith, National Bureau of Standards, Whole Unit, Absent Present Supplement, Applied Statistics, Average Level, Cambridge University Press, Column Average, Row Level, Squares Square, Transformed Observations Factor New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
This book is about the planning of experiments in which the effects under investigation tend to be masked by fluctuations outside the experimenter's control. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sampled qualitative factors, specific qualitative factors, units receiving different treatments, previous similar experiments, concomitant observations, carrier variable, uncontrolled variation, factorial system, residual standard deviation, fractional replication, challenging dose, whole plot treatments, mean fiber diameter, adjusted treatment, estimated treatment effects, agricultural field trial, randomized block experiment, concomitant variable, experimental units, estimated contrast, true treatment effects, paired comparison experiment, balanced incomplete block design, treatment occurring, equally spaced levels Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Babington Smith, National Bureau of Standards, Whole Unit, Absent Present Supplement, Applied Statistics, Average Level, Cambridge University Press, Column Average, Row Level, Squares Square, Transformed Observations Factor 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 2
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100
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- Biometrika Tables for Statisticians by E. S. Pearson in Front Matter, page 160, and page 167
- Experimental Designs by William Gemmel Cochran in Front Matter
- Encyclopedia of Computer Science and Technology: Volume 7 - Curve Fitting to Early Development of Programming Languages (Encyclopedia of Computer Science & Technology) by Jack Belzer on page 263, and page 264
- Fundamentals of Exploratory Analysis of Variance (Wiley Series in Probability and Statistics) by David C. Hoaglin in Front Matter, and page 69
- Fractional Factorial Plans (Wiley Series in Probability and Statistics) by Aloke Dey in Back Matter (1), and Back Matter (2)
- Design of Experiments (Statistics: A Series of Textbooks and Monographs) by Thomas Lorenzen on page 18, and page 206
- Applied Linear Regression (Wiley Series in Probability and Statistics) by Sanford Weisberg in Front Matter, and Back Matter
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