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Advanced Linear Modeling: Statistical Learning and Dependent Data

Advanced Linear Modeling: Statistical Learning and Dependent Data

Autorzy
Wydawnictwo Springer Nature Switzerland AG
Data wydania 20/12/2019
Wydanie Trzecie
Liczba stron 608
Forma publikacji książka w twardej oprawie
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
ISBN 9783030291631
Kategorie Analiza numeryczna, Prawdopodobieństwo i statystyka, Stochastyka
Zastępuje 9781441929402
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Opis książki

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.

Advanced Linear Modeling: Statistical Learning and Dependent Data

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