Advanced Linear Modeling : Statistical Learning and Dependent Data
Third Edition 2019
Book Details
Format
Hardback
Book Series
Springer Texts in Statistics
ISBN-10
3030291634
ISBN-13
9783030291631
Edition
Third Edition 2019
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 20th, 2019
Print length
608 Pages
Product Classification:
Numerical analysisProbability & statisticsProbability and statisticsStochastics
KSh 19,800.00
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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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