Theory of the Design of Experiments
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A01=D.R. Cox
A01=Nancy Reid
AB Ij
additivity
advanced experimental design principles
Author_D.R. Cox
Author_Nancy Reid
Balanced Incomplete Block Design
bias reduction strategies
block
blocking methods
Category=PBT
Category=PDE
Condence Limits
eect
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Etch Rate
experimental
experimental planning
Experimental Units
Factor Interactions
factorial analysis
General Equivalence Theorem
Incomplete Block Design
latin
Latin Hypercube Designs
Latin Squares
Main Eects
Moment Assumption
Normal Theory Assumption
Orthogonal Array
Orthogonal Latin Squares
Prior Distribution P0
randomization techniques
Randomization Theory
randomized
Randomized Block Design
Randomized Block Experiment
Robbins Monro Procedure
square
statistical methodology
treatment
Treatment Dierences
Treatment Eects
unit
Unit Treatment Additivity
units
Variance Table
Youden Square
Product details
- ISBN 9781584881957
- Weight: 760g
- Dimensions: 152 x 229mm
- Publication Date: 06 Jun 2000
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Why study the theory of experiment design? Although it can be useful to know about special designs for specific purposes, experience suggests that a particular design can rarely be used directly. It needs adaptation to accommodate the circumstances of the experiment. Successful designs depend upon adapting general theoretical principles to the special constraints of individual applications.
Written for a general audience of researchers across the range of experimental disciplines, The Theory of the Design of Experiments presents the major topics associated with experiment design, focusing on the key concepts and the statistical structure of those concepts. The authors keep the level of mathematics elementary, for the most part, and downplay methods of data analysis. Their emphasis is firmly on design, but appendices offer self-contained reviews of algebra and some standard methods of analysis.
From their development in association with agricultural field trials, through their adaptation to the physical sciences, industry, and medicine, the statistical aspects of the design of experiments have become well refined. In statistics courses of study, however, the design of experiments very often receives much less emphasis than methods of analysis. The Theory of the Design of Experiments fills this potential gap in the education of practicing statisticians, statistics students, and researchers in all fields.
