Technical Linear Model Methodology (1584884819)

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Andre I. Khuri, "Linear Model Methodology"

Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles and theory is essential. Supported by a large number of examples, Linear Model Methodology provides a strong foundation in the theory of linear models and explores the latest developments in data analysis.

After presenting the historical evolution of certain methods and techniques used in linear models, the book reviews vector spaces and linear transformations and discusses the basic concepts and results of matrix algebra that are relevant to the study of linear models. Although mainly focused on classical linear models, the next several chapters also explore recent techniques for solving well-known problems that pertain to the distribution and independence of quadratic forms, the analysis of estimable linear functions and contrasts, and the general treatment of balanced random and mixed-effects models. The author then covers more contemporary topics in linear models, including the adequacy of Satterthwaite’s approximation, unbalanced fixed- and mixed-effects models, heteroscedastic linear models, response surface models with random effects, and linear multiresponse models. The final chapter introduces generalized linear models, which represent an extension of classical linear models.

Linear models provide the groundwork for analysis of variance, regression analysis, response surface methodology, variance components analysis, and more, making it necessary to understand the theory behind linear modeling. Reflecting advances made in the last thirty years, this book offers a rigorous development of the theory underlying linear models.

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	Programming Soft Systems Methodology: Conceptual Model Building and Its Contribution Brian Wilson "Soft Systems Methodology: Conceptual Model Building and Its Contribution" Wiley \| 2001-06-12 \| ISBN: 0471894893 \| 278 pages \| PDF \| 6 MB Conceptual model building is accepted as a key phase in Soft Systems Methodology. Des ...
	Science/Engineering Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)Chapman & Hall/CRC \| ISBN: 158488424X \| 2005-12-20 \| PDF \| 312 pages \| 8 Mb Linear models are central ...
	Trees and Hills: Methodology for Maximizing Functions of Systems of Linear Relations Rick Greer, "Trees and Hills: Methodology for Maximizing Functions of Systems of Linear Relations"Elsevier Science Ltd \| 1984-11 \| ISBN: 0444875786 \| 366 pages \| PDF \| 9,6 MBThe tree algorithm described in this monograph is an algorithm whi ...
	Study Semantic Grid: Model, Methodology, and Applications (Advanced Topics in Science and Technology in China) Semantic Grid: Model, Methodology, and Applications (Advanced Topics in Science and Technology in China) Publisher: Springer \| ISBN: 3540794530 \| edition 2008 \| PDF \| 230 pages \| 3,1 mb Semantic Grid: Model, Methodology, and Applications ...
	Software Related Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Author: Julian J. FarawayPublisher: Chapman & Hall/CRC; 1 editionPublish Date: December 20, 2005ISBN: 158488424XPages: 312Linear models are central to the practice of statistics and form the foundation of a vast range of statistical met ...
	Science/Engineering Semantic Grid: Model, Methodology, and Applications Semantic Grid: Model, Methodology, and Applications introduces to the science, core technologies, and killer applications. First, scientific issues of semantic grid systems are covered, followed by two basic technical issues, data-level sem ...

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