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Covariance Structure Models

Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psy;...

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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;...

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Time Series Econometrics

This text presents modern developments in time series analysis and focuses on their application to e;...

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High-Dimensional Covariance Estimation

Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play;...

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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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Modelling Covariances and Latent Variables Using EQS

This primer has been designed as a self-instructional text which serves to introduce the reader to b;...

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Modelling Covariances and Latent Variables Using EQS

This primer has been designed as a self-instructional text which serves to introduce the reader to b;...

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Large Covariance and Autocovariance Matrices

Large Covariance and Autocovariance Matrices brings together a collection of recent results on sampl;...

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Large Covariance and Autocovariance Matrices

Large Covariance and Autocovariance Matrices brings together a collection of recent results on sampl;...

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Linear Mixed Models for Longitudinal Data

This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data;...

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Antedependence Models for Longitudinal Data

The First Book Dedicated to This Class of Longitudinal Models Although antedependence models are ;...

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Multilevel Analysis

This volume provides an introduction to multilevel analysis for applied researchers. The term multil;...

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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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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothe;...

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The Coordinate-Free Approach to Linear Models

This book is about the coordinate-free, or geometric, approach to the theory of linear models; more ;...

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Shrinkage Estimation for Mean and Covariance Matrices

This book provides a self-contained introduction to shrinkage estimation for matrix-variate normal d;...

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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 refer;...

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Analysis Of Variance & Covariance

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This refer;...

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Applied Quantitative Analysis in Education and the Social Sciences

To say that complex data analyses are ubiquitous in the education and social sciences might be an un;...

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Applied Quantitative Analysis in Education and the Social Sciences

To say that complex data analyses are ubiquitous in the education and social sciences might be an un;...

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Linear Models And Regression With R

Starting with the basic linear model where the design and covariance matrices are of full rank, this;...

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Introduction to Probability: Models and Applications

With a focus on models and tangible applications of probability from physics, computer science, and ;...

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SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS®. Discover the latest capabilities ava;...

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Recent Developments in Multivariate and Random Matrix Analysis

This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It co;...

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Covariance Analysis for Seismic Signal Processing

This volume is intended to provide the geophysical signal analyst with sufficient material to unders;...

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Linear Models

Linear models, normally presented in a highly theoretical and mathematical style, are brought down t;...

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Multivariate, Multilinear and Mixed Linear Models

This book presents the latest findings on statistical inference in multivariate, multilinear and mix;...

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