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Advanced Linear Modeling - Statistical Learning and Dependent Data (Hardcover, 3rd ed. 2019)
Loot Price: R3,156
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Advanced Linear Modeling - Statistical Learning and Dependent Data (Hardcover, 3rd ed. 2019)
Series: Springer Texts in Statistics
Expected to ship within 10 - 15 working days
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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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