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Advanced Linear Modeling

Advanced Linear Modeling

Statistical Learning and Dependent Data

by Ronald Christensen
Paperback
Publication Date: 08/01/2021

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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.
ISBN:
9783030291662
9783030291662
Category:
Numerical analysis
Format:
Paperback
Publication Date:
08-01-2021
Publisher:
Springer Nature Switzerland AG
Country of origin:
Switzerland
Edition:
3rd Edition
Pages:
608
Dimensions (mm):
235x155mm
Weight:
0.95kg

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