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High-Dimensional Covariance Estimation

of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and;

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Covariance Analysis for Seismic Signal Processing

matrix analysis in the processing of geophysical signals. A background of basic linear algebra, statistics, and fundamental random signal;

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Analysis of Messy Data, Volume III

Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the;

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The Analysis of Covariance and Alternatives

A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis;

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Analysis of Variance and Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;

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Analysis Of Variance & Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between;

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Covariance Structure Models

Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation;

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Eddy Covariance

installation and system dimensioning to data collection, correction and analysis. With a state-of-the-art perspective, the authors examine the;

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Large Covariance and Autocovariance Matrices

. The prerequisites include knowledge of elementary multivariate analysis, basic time series analysis and basic results in stochastic;

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Large Covariance and Autocovariance Matrices

. The prerequisites include knowledge of elementary multivariate analysis, basic time series analysis and basic results in stochastic;

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Statistical Foundations of Data Science

Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;

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Advanced Linear Models

model, the analysis of variance model, the analysis of covariance model, and the variance components model.;

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Recent Developments in Multivariate and Random Matrix Analysis

papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis;

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The Coordinate-Free Approach to Linear Models

simpler than the more common matrix approach to linear regression, analysis of variance, and analysis of covariance models in statistics. The book;

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Analysis of Covariance

The Analysis of Covariance is a wonderful, clever, perhaps ingenious and inspirational technique for using statistical projections to;

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Advanced Statistics for Kinesiology and Exercise Science

study of human performance. Divided into three distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA;

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Advanced Statistics for Kinesiology and Exercise Science

study of human performance. Divided into three distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA;

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Structural Analysis

Structural analysis comprises the set of physical laws and mathematics required to study and predict the behaviour of structures. This book;

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Statistical Methods for the Analysis of Biomedical Data

analysis of covariance. Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.;

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Shrinkage Estimation for Mean and Covariance Matrices

for researchers and graduate students in various fields requiring data analysis skills as well as in mathematical statistics.;

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Matrix Analysis for Statistics

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth;

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Financial Mathematics, Volatility and Covariance Modelling

This book provides an up-to-date series of advanced chapters on applied financial econometric techni;...

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Financial Mathematics, Volatility and Covariance Modelling

This book provides an up-to-date series of advanced chapters on applied financial econometric techni;...

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Spatial Statistics and Spatio-Temporal Data

In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental;...

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Multilevel Analysis

This volume provides an introduction to multilevel analysis for applied researchers. The term multilevel refers to a hierarchical or nested;

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Random Fields Estimation

graduate courses in random fields estimation. It can also be used in courses in functional analysis, numerical analysis, integral equations, and;

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The Classification of Data under Autoregressive Circulant Covariance

The problem of classification is an old one that has application in geophysical, medical, signal pro;...

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