First Course in the Design of Experiments
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A01=Donald Weber
A01=John H. Skillings
advanced experimental design techniques
anova
ANOVA Table
Author_Donald Weber
Author_John H. Skillings
Bib Design
Bonferroni Multiple Comparison
Bonferroni Multiple Comparisons Procedure
Category=JMB
Category=PBT
Category=PS
Conditional Error
confidence
covariance analysis
CRD
Donald C. Weber
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error
Error Sum
estimable
Estimable Functions
experimental methodology
factorial analysis
Fisher's LSD Procedure
Fisher’s LSD Procedure
Full Rank Case
Full Rank Model
functions
Independent Normal Random Variables
interval
John H. Skillings
Latin Square
Latin Square Design
linear
Multiple Regression Setting
nested models
normal
Normal Linear Model
Orthogonal Polynomial
randomized block design
Regression Model
Reparametrized Model
Simple Linear Regression Model
Simultaneous Confidence Intervals
statistical inference
sum
table
Treatment Contrasts
Tukey Multiple Comparison
Tukey Procedure
Unadjusted Sums
Product details
- ISBN 9780367579081
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 30 Jun 2020
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Most texts on experimental design fall into one of two distinct categories. There are theoretical works with few applications and minimal discussion on design, and there are methods books with limited or no discussion of the underlying theory. Furthermore, most of these tend to either treat the analysis of each design separately with little attempt to unify procedures, or they will integrate the analysis for the designs into one general technique.
A First Course in the Design of Experiments: A Linear Models Approach stands apart. It presents theory and methods, emphasizes both the design selection for an experiment and the analysis of data, and integrates the analysis for the various designs with the general theory for linear models.
The authors begin with a general introduction then lead students through the theoretical results, the various design models, and the analytical concepts that will enable them to analyze virtually any design. Rife with examples and exercises, the text also encourages using computers to analyze data. The authors use the SAS software package throughout the book, but also demonstrate how any regression program can be used for analysis.
With its balanced presentation of theory, methods, and applications and its highly readable style, A First Course in the Design of Experiments proves ideal as a text for a beginning graduate or upper-level undergraduate course in the design and analysis of experiments.
John H. Skillings, Donald Weber
