9780387952963-0387952969-Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization (Springer Texts in Statistics)

Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization (Springer Texts in Statistics)

ISBN-13: 9780387952963
ISBN-10: 0387952969
Edition: 2nd
Author: Ronald Christensen
Publication date: 2001
Publisher: Springer
Format: Hardcover 412 pages
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Book details

ISBN-13: 9780387952963
ISBN-10: 0387952969
Edition: 2nd
Author: Ronald Christensen
Publication date: 2001
Publisher: Springer
Format: Hardcover 412 pages

Summary

Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization (Springer Texts in Statistics) (ISBN-13: 9780387952963 and ISBN-10: 0387952969), written by authors Ronald Christensen, was published by Springer in 2001. With an overall rating of 3.9 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization (Springer Texts in Statistics) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis. This second edition adds new material on nonparametric regression, response surface maximization, and longitudinal models. The book provides a unified approach to these disparate subjects and serves as a self-contained companion volume to the author's Plane Answers to Complex Questions: The Theory of Linear Models. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of linear models having linear structure.

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