Paul Stewart W. Linear Model Theory
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A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data analysis and for developing new statistical methods. Most books on the subject have historically discussed univariate, multivariate, and mixed linear models
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Группа авторов Linear Models
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An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationships that these models have with Analysis of Variance (ANOVA), experimental design, and random and mixed-model effects. This one-of-a-kind
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Marvin H. J. Gruber Matrix Algebra for Linear Models
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A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book provides a unified
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Giorgio Celant Interpolation and Extrapolation Optimal Designs 2
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This book considers various extensions of the topics treated in the first volume of this series, in relation to the class of models and the type of criterion for optimality. The regressors are supposed to belong to a generic finite dimensional Haar linear space, which substitutes for the classical
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Paul Smolensky Optimality Theory
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This book is the final version of the widely-circulated 1993 Technical Report that introduces a conception of grammar in which well-formedness is defined as optimality with respect to a ranked set of universal constraints. Final version of the widely circulated 1993 Technical Report that was the
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Sergio Rinaldi Positive Linear Systems
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A complete study on an important class of linear dynamical systems-positive linear systems One of the most often-encountered systems in nearly all areas of science and technology, positive linear systems is a specific but remarkable and fascinating class. Renowned scientists Lorenzo Farina and
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Alvin Rencher C. Linear Models in Statistics
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The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear
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Non-linear Psychoanalysis: Chaos & Complexity Theory
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Paul C. Krause Reference Frame Theory
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Paul C. Krause Reference Frame Theory
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Discover the history, underpinnings, and applications of one of the most important theories in electrical engineering In Reference Frame Theory , author Paul Krause delivers a comprehensive and thorough examination of his sixty years of work in reference frame theory. From the arbitrary
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Douglas C. Montgomery Solutions Manual to accompany Introduction to Linear Regression Analysis
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As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's
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Yi-lung Mo Unified Theory of Concrete Structures
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Unified Theory of Concrete Structures develops an integrated theory that encompasses the various stress states experienced by both RC & PC structures under the various loading conditions of bending, axial load, shear and torsion. Upon synthesis, the new rational theories replace the many empirical
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