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Multivariate Models and Multivariate Dependence Concepts

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;

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Dependence Modeling with Copulas

generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also;

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Dependence Modeling with Copulas

generalizations of vine copula models, including common and structured factor models that extend from the Gaussian assumption to copulas. It also;

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Multivariate Generalized Linear Mixed Models Using R

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data;

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Multivariate, Multilinear and Mixed Linear Models

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Introduction to Multivariate Analysis

Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling;

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Introduction to Multivariate Analysis

Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows;

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Multivariate Geostatistics

variety of models, methods and techniques for the analysis, estimation and display of multivariate data distributed in space or time. It presents;

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Multivariate Statistics

The book aims to present a wide range of the newest results on multivariate statistical models, distribution theory and applications;

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Applied Multivariate Analysis

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;

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Multivariate Time Series Analysis and Applications

field Following the highly successful and much lauded book, Time Series Analysis-Univariate and Multivariate Methods, this new work by;

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Bilinear Regression Analysis

comprising the classical growth curve model and its extensions. In order to analyze the bilinear regression models in an interpretable way, concepts;

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Multivariate Geostatistics: An Introduction with Applications

This fully revised third edition introduces geostatistics by emphasising the multivariate aspects for scientists, engineers and;

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Linear Model Theory

A precise and accessible presentation of linear model theory, illustrated with data examples Statisticians often use linear models for data;

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Multivariate Analysis with LISREL

This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the;

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Copulae and Multivariate Probability Distributions in Finance

Portfolio theory and much of asset pricing, as well as many empirical applications, depend on the use of multivariate probability;

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Multivariate Probability

This book is a comprehensive guide to multivariate probability for students who have an elementary knowledge of probability and are ready;

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Multivariate Time Series Analysis

R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic;

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Analysis of Multivariate Social Science Data

Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Families with Mixture Dependence

class of distributions and, in particular, to the rich class of the exponential dispersion family (EDF). Special attention is paid to the;

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Methods of Multivariate Statistics

data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the;

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Longitudinal Multivariate Psychology

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate;

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