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Advanced Linear Modeling Ronald Christensen

Advanced Linear Modeling By Ronald Christensen

Advanced Linear Modeling by Ronald Christensen


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Summary

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.

Advanced Linear Modeling Summary

Advanced Linear Modeling: Statistical Learning and Dependent Data by 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.

Advanced Linear Modeling Reviews

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)

About Ronald Christensen

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).

Table of Contents


Additional information

NPB9783030291631
9783030291631
3030291634
Advanced Linear Modeling: Statistical Learning and Dependent Data by Ronald Christensen
New
Hardback
Springer Nature Switzerland AG
2019-12-20
608
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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