Linear statistical models

• Main Author: Stapleton, James H. 1931- (Author)
• Format: Unknown
• Published: New York Wiley 1995; ©1995
• Series: The Wiley series in probability and statistics.
• Subjects: Linear models (Statistics)
• Online Access: Click Here to View Status and Holdings.
• Item Description: "A Wiley-Interscience publication."
• Physical Description: xiii, 449 pages illustrations 25 cm
• Bibliography: Includes bibliographical references (page 401-407) and indexes
• ISBN: 0471571504

Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models. These models lead to what is usually called "multiple regression" or "analysis of variance" methodology, which, in turn, opens up a wide range of applications to the physical, biological, and social sciences, as well as to business, agriculture, and engineering. Unlike similar books on this topic, Linear Statistical Models emphasizes the geometry of vector spaces because of the intuitive insights this approach brings to an understanding of the theory. While the focus is on theory, examples of applications, using the SAS and S-Plus packages, are included. Prerequisites include some familiarity with linear algebra, and probability and statistics at the postcalculus level.