Advanced Linear Modeling
Statistical Learning and Dependent Data
3rd Edition
Published on 8. January 2021
Book
Paperback/Softback
XXIII, 608 pages
978-3-030-29166-2 (ISBN)
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.
Reviews / Votes
"This book is in my opinion a very valuable resource for researchers since it presents the theoretical foundations of linear models in a unified way while discussing a number of applications. ... This book is definitely worth considering for anyone looking for an extensive and thorough treatment of advanced topics in linear modeling." (Fabio Mainardi, MAA Reviews, May 23, 2021)More details
Product info
Book
Series
Edition
3rd ed. 2019
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Edition type
Revised edition
Illustrations
6
70 s/w Abbildungen, 6 farbige Abbildungen
6 Illustrations, color; 70 Illustrations, black and white; XXIII, 608 p. 76 illus., 6 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 34 mm
Weight
943 gr
ISBN-13
978-3-030-29166-2 (9783030291662)
DOI
10.1007/978-3-030-29164-8
Schweitzer Classification
Other editions
Additional editions
Book
12/2019
3rd Edition
Springer
€128.39
Shipment within 7-9 days
Person
Ronald Christensen is a Professor of Statistics at the University of New Mexico, Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics, former Chair of the ASA Section on Bayesian Statistical Science and former Editor of The American Statistician. His book publications include Plane Answers to Complex Questions (Springer 2011), Log-Linear Models and Logistic Regression (Springer 1997), Analysis of Variance, Design, and Regression (1996, 2016), and Bayesian Ideas and Data Analysis (2010, with Johnson, Branscum and Hanson).