Advanced linear modeling statistical learning and dependent data 3rd Edition by Ronald Christensen ISBN 3030291669 978-3030291662

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Product details:

ISBN 10: 3030291669 

ISBN 13: 978-3030291662

Author:   Ronald Christensen

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.

Table of contents: 

1. Nonparametric Regression

2. Penalized Estimation

3. Reproducing Kernel Hilbert Spaces

4. Covariance Parameter Estimation

5. Mixed Models and Variance Components

6. Frequency Analysis of Time Series

7. Time Domain Analysis

8. Linear Models for Spatial Data: Kriging

9. Multivariate Linear Models: General

10. Multivariate Linear Models: Applications

11. Generalized Multivariate Linear Models and Longitudinal Data

12. Discrimination and Allocation

13. Binary Discrimination and Regression

14. Principal Components, Classical Multidimensional Scaling, and Factor Analysis

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Tags: Ronald Christensen, Advanced linear modeling, statistical learning, dependent data