A01=Dallas E. Johnson
A01=George A. Milliken
ADG
advanced statistical modeling for experiments
Author_Dallas E. Johnson
Author_George A. Milliken
Block Analysis
Block Estimates
Block Information
Category=PBT
code
Common Slope Model
Covariance Structure
Data Set
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
estimate
Estimate StdErr
Estimate StdErr Df tValue Probt
experimental design statistics
Experimental Unit
fvalue
FValue ProbF
glm
mixed
mixed effects models
Moisture Content
MS FValue ProbF
Non-null Effects
Parameter Estimate StdErr tValue Probt
Pdiff Stderr
probf
proc
Proc GLM
Proc Glm Data
PROC MIXED Code
Proc Mixed Data
randomized block analysis
regression modeling techniques
Regression Models
REML Estimate
repeated measures statistics
Size Experimental Unit
slopes
stderr
unequal
Unequal Slopes
Unequal Slopes Model
variable selection methods
Product details
- ISBN 9781584880837
- Weight: 980g
- Dimensions: 156 x 234mm
- Publication Date: 29 Aug 2001
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of treating the analysis of covariance problem by looking at a set of regression models, one for each of the treatments or treatment combinations. Using this strategy, analysts can use their knowledge of regression analysis and analysis of variance to help attack the problem.
The authors describe the strategy for one- and two-way treatment structures with one and multiple covariates in a completely randomized design structure. They present new methods for comparing models and sets of parameters, including beta-hat models. They carefully investigate the effect of blocking, explore mixed models, and present a new methodology for using covariates to analyze data from nonreplicated experiments.
Analysis of covariance provides an invaluable set of strategies for analyzing data. With its careful balance of theory and examples, Analysis of Messy Data: Volume 3 provides a unique and outstanding guide to the strategy's techniques, theory, and application.
George A. Milliken, Dallas E. Johnson
