Analysis of messy data
By: by George A. Milliken, Dallas E. Johnson.
Contributors: Johnson, Dallas E., 1938-
Edition: 2nd ed.
Publisher: Chapman & Hall/CRC
Published: 2008
Place of publication: Boca Raton
Language: eng
ISBN-13: 9781584883340
Subjects: Analysis of variance; Experimental design; Sampling (Statistics)
Description: This book helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since the original publication. The book explores various techniques for multiple comparison procedures, random effects models, mixed models, split-plot experiments, and repeated measures designs. The authors implement the techniques using several statistical software packages and emphasize the distinction between design structure and the structure of treatments. They introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. Bringing a classic work up to date, this edition will continue to show readers how to effectively analyze real-world, nonstandard data sets.
Notes: Includes bibliographical references and index.
Table of contents: title: v. 1. Designed experiments