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Advanced Linear Modeling: Statistical Learning and Dependent Data (2019)
by Advanced Linear Modeling: Statistical Learning and Dependent Data (2019)
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Description
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.
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Product Details
- Springer Brand
- Jan 8, 2021 Pub Date:
- 3030291669 ISBN-10:
- 9783030291662 ISBN-13:
- English Language
- 9.21 in * 1.28 in * 6.14 in Dimensions:
- 2 lb Weight:
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