Analysis of Messy Data, Volume I
Designed Experiments
1st Edition
Published on 15. May 1993
Book
Hardback
490 pages
978-0-412-99081-6 (ISBN)
Description
This classic reference details methods for effectively analyzing non-standard or messy data sets. The authors introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. They emphasize the distinction between design structure and the structure of treatments and focus on using the techniques with several statistical packages, including SAS, BMDP, and SPSS.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 156 mm
Weight
839 gr
ISBN-13
978-0-412-99081-6 (9780412990816)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
George A. Milliken | Dallas E. Johnson
Analysis of Messy Data Volume 1
Designed Experiments, Second Edition
Book
03/2009
2nd Edition
Chapman & Hall/CRC
€195.40
Shipment within 15-20 days
Persons
Content
The Simplest Case-One-Way Treatment Structure in a Completely Randomized Design Structure with Homogeneous Errors. One-Way Treatment Structure in a Completely Randomized Design Structure with Heterogeneous Errors. Simultaneous Inference Procedures and Multiple Comparisons. Basics of Experimental Design. Experimental Designs Involving Several Sizes of Experimental Units. Matrix Form of the Model. Balanced Two-Way Treatment Structures. Case Study: Complete Analyses of Balanced Two-Way Experiments. Using the Means Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Using the Effects Model to Analyze Balanced Two-Way Treatment Structures with Unequal Subclass Numbers. Analyzing Large Balanced Two-Way Experiments with Unequal Subclass Numbers. Case Study: Balanced Two-Way Treatment Structure with Unequal Subclass Numbers. Using the Means Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Using the Effects Model to Analyze Two-Way Treatment Structures with Missing Treatment Combinations. Case Study: Two-Way Treatment Structure with Missing Treatment Combinations. Analyzing Three-Way and Higher-Order Treatment Structures. Case Study: Three-Way Treatment Structure with Many Missing Treatment Combinations. Random Models and Variance Components. Methods for Estimating Variance Components. Methods for Making Inference about Variance Components. Case Study: Analysis of a Random Model. Analysis of Mixed Models. Two Case Studies of a Mixed Model. Methods for Analyzing Balanced Split-Plot Designs. Strip-Plot Experimental Designs. Analysis of Repeated Measures Designs for Which the Usual Assumptions Hold. Analysis of Repeated Measures Designs for Which the Usual Assumptions Do Not Hold. Analyzing Split-Plot and Certain Repeated Measures Experiments with Unbalanced and Missing Data. Computing the Variances of Contrasts for Repeated Measures and Split-Plot Designs by Using Hartley's Method of Synthesis. Analysis of Nested Designs. Analysis of Repeated Measures Experiments by Using Multivariate Methods. Analysis of Crossover Designs.