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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Advanced Linear Modeling
• Subtitle: Statistical Learning and Dependent Data
• Author: Ronald Christensen
• Language: English
• Binding: Hardback
• Number of pages: 608
• EAN: 9783030291631
• ID: 24519546
• Publisher: Springer Nature Switzerland AG
• Weight: 1105 g
• Dimensions: 235 × 155 × 40 mm
• Date of publishing: 20. December 2019

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