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Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that;
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Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;
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In Hadamard Matrices and Their Applications, K. J. Horadam provides the first unified account of cocyclic Hadamard matrices and their;
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, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the;
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Volume 36 examines timely subjects such as multilinear regression, canonical correlation, and facor and principal component methods;
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strategies to qualitatively and quantitatively assess and map the organic and inorganic pollutants in complex atmospheric, water and soil matrices;
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Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect;
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analysis, canonical correlation analysis, and linear modeling. In addition to the algebraic manipulation of matrices, the book presents;
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, canonical correlation analysis, and linear modeling. In addition to the algebraic manipulation of matrices, the book presents numerical examples;
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material on matrices and vectors Further material on map projections New material on spatial correlation A new section on global positioning;
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underpin the management of such data. He then explores the use of matrices, determinants and vectors in the handling of geographic information so;
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In Advanced Equity Derivatives: Volatility and Correlation, Sebastien Bossu reviews and explains the advanced concepts used for pricing and;
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direction, and provide visual understanding of model construction and analysis. Matrices are natural and hardworking partners of vectors. This work;
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This book explores the remarkable connections between two domains that, a priori, seem unrelated: Random matrices (together with associated;
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Totally nonnegative matrices arise in a remarkable variety of mathematical applications. This book is a comprehensive and self-contained;
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Totally nonnegative matrices arise in a remarkable variety of mathematical applications. This book is a comprehensive and self-contained;
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as decision maps, correlation matrices to show all possible interactions, and simplified energy surfaces used as problem space maps), helping;
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This outstanding text offers undergraduate students of physics, chemistry, and engineering a concise, readable introduction to matrices;
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Up-to-date resource on Hadamard matrices Hadamard Matrices: Constructions using Number Theory and Algebra provides students with a;
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Correlation and Regression Analysis: Applications for Industrial Organizations book discusses the important theoretical concepts such as;
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Graph-Theoretical Matrices in Chemistry presents a systematic survey of graph-theoretical matrices and highlights their potential uses;
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Graph-Theoretical Matrices in Chemistry presents a systematic survey of graph-theoretical matrices and highlights their potential uses;
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Focusing on special matrices and matrices which are in some sense `near' to structured matrices, this volume covers a broad range of topics;
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Cell-Derived Matrices Part B, Volume 157 provides a detailed description and step-by-step methods surrounding the use of three;
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This clear and correct summation of basic results from a specialized field focuses on the behavior of infinite matrices in general, rather;
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This issue of MRI Clinics of North America focuses on Musculoskeletal Imaging: Radiographic/MRI Correlation and is edited by Dr. Anne;
Vergelijkbare producten zoals Musculoskeletal Imaging: Radiographic/MRI Correlation, An Issue of Magnetic Resonance Imaging Clinics of North America
Cell-Derived Matrices, Part A, Volume 156, provides a detailed description and step-by-step methods surrounding the use of three;
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