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Advanced Linear Modeling

Advanced Linear Modeling

Ronald Christensen

112,81 €
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Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2021
Materia
Probabilidad y estadística
ISBN:
9783030291662
112,81 €
IVA incluido
Disponible

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Sobre IBD

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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Otros libros del autor

  • Plane Answers to Complex Questions
    Ronald Christensen
    This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author’s emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make...
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  • Analysis of Variance, Design, and Regression
    Ronald Christensen
    This second edition focuses on modeling unbalanced data. It presents many new topics, including new chapters on logistic regression, log-linear models, and time-to-event data. It shows how to model main-effects and interactions and introduces nonparametric, lasso, and generalized additive regression models. The text carefully analyzes small unba ...
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  • Plane Answers to Complex Questions
    Ronald Christensen
    This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author’s emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make...
  • Advanced Linear Modeling
    Ronald Christensen
    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 ...
  • Analysis of Variance, Design, and Regression
    Ronald Christensen
    This second edition focuses on modeling unbalanced data. It presents many new topics, including new chapters on logistic regression, log-linear models, and time-to-event data. It shows how to model main-effects and interactions and introduces nonparametric, lasso, and generalized additive regression models. The text carefully analyzes small unbalanced data by using tools that a...
  • Plane Answers to Complex Questions
    Ronald Christensen
    This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author’s emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make...
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