Cross-Over Experiments

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A01=David Ratkowsky
A01=Marc A. Evans
A01=Richard Alldredge
advanced cross-over study methodology
ANOVA Table
Author_David Ratkowsky
Author_Marc A. Evans
Author_Richard Alldredge
Balaam Design
Balanced Incomplete Block Design
binary data
biostatistics methods
Card
carryover effect
Carryover Effects
Carryover Parameters
categorical data
categorical data modeling
Category=PBT
Category=UNC
Cell Means
clinical trial analysis
Covariance Matrix
Cross-over Designs
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
experimental design theory
Extra Period
GLS Estimator
Latin Square
Latin Square Design
LSMEANS Statement
Pooled Covariance Matrix
Proc GLM
Row Echelon Form
SAS Proc GLM
SAS Procedure Proc GLM
Significant Period Effects
SS2
statistical software applications
Treat Carry
Uniform Covariance
variance estimation techniques
VIF
Wilk Shapiro Statistic

Product details

  • ISBN 9780824788926
  • Weight: 771g
  • Dimensions: 210 x 280mm
  • Publication Date: 22 Dec 1992
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Developing a model-based approach that enables any cross-over trial, of any degree of imbalance, to be analyzed both for direct effects and for residual effects, using consistent procedures that employ commercially available statistical software, this text offers a guide to the analysis of cross-over designs.;Illustrating practical applications throughout with examples, this book: emphasizes the importance of choosing highly efficient designs that separate treatment and carryover effects; demonstrates the exact methodology needed to handle the analysis of data; presents a new methodology for the analysis of binary and categorical data; and considers the effects of blocking. The appendices facilitate the choosing of an appropriate design for every experimental need.
Ratkowsky\, David; Alldredge\, Richard; Evans\, Marc A.

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