Advanced Linear Modeling Statistical Learning and Dependent Data /

• Main Author: Christensen, Ronald (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 3rd ed. 2019.
• Series: Springer Texts in Statistics,
• Subjects: Probabilities.; Computer mathematics.; Statistics .; Probability Theory and Stochastic Processes.; Computational Mathematics and Numerical Analysis.; Statistical Theory and Methods.

Now in its third edition, this companion volume to Ronald Christensen's Plane Answers to Complex Questions uses three fundamental concepts from standard linear model theory-best linear prediction, projections, and Mahalanobis distance- to extend standard linear modeling into the realms of Stati...

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 Spacial 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
• A Mathematical Background
• B Best Linear Predictors
• C Residual Maximum Likelihood
• Index
• Author Index.