Analysis of messy data v. 1 Designed experiments

A best-selling reference for 17 years, Analysis of Messy Data: Volume 1 has now been extensively revised and brought thoroughly up to date. The authors have streamlined the presentation and incorporated a number of recent developments in the field, including advances in random effects models and refinements tomultiple comparison procedures. Most importantly, they have completely updated material involving software and detail how SAS-Mixed, SAS-GLM, and other packages can be used to improve experiment design and model analysis. Easy to read with good examples and a comfortable layout, this edition will undoubtedly take its place as a favorite reference of experiment designers and statisticians. INDICE: 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. Case Study: Balanced Two-Way Treatment Structure with Unequal Subclass Numbers. Using the Means Model to AnalyzeTwo-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. Methods for Analyzing Balanced Split-Plot Designs. Strip-Plot Experimental Designs. Analyzing Unbalanced Split-Plot Experiments with Missing Data. Analysis of Repeated Measures Designs. Analysis of Nested Designs.

• ISBN: 978-1-58488-334-0
• Editorial: CRC Press
• Encuadernacion: Cartoné
• Páginas: 674
• Fecha Publicación: 01/02/2009
• Nº Volúmenes: 1
• Idioma: Inglés