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Advanced Linear Modeling - Statistical Learning and Dependent Data (Hardcover, 3rd ed. 2019) Loot Price: R3,311
Discovery Miles 33 110
Repayment Terms: R310 pm x 12*
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Advanced Linear Modeling - Statistical Learning and Dependent Data (Hardcover, 3rd ed. 2019): Ronald Christensen

Advanced Linear Modeling - Statistical Learning and Dependent Data (Hardcover, 3rd ed. 2019)

Ronald Christensen

Series: Springer Texts in Statistics

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Loot Price R3,311 Discovery Miles 33 110 | Repayment Terms: R310 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Texts in Statistics
Release date: December 2019
First published: 2019
Authors: Ronald Christensen
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 608
Edition: 3rd ed. 2019
ISBN-13: 978-3-03-029163-1
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
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LSN: 3-03-029163-4
Barcode: 9783030291631

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