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Multivariate and Mixture Distribution Rasch Models

This book examines extensions of the Rasch model, one of the most researched and applied models in educational research and social science;

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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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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

discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and;

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Optimal Mixture Experiments

, Equivalence theorems for different optimality criteria and standard optimality results for single variable polynomial regression and multivariate;

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Linear Model Theory

the models. Chapters 7-10 address distribution theory of multivariate Gaussian variables and quadratic forms. Chapters 11-19 detail methods;

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Handbook of Mixture Analysis

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and;

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Recent Developments in Multivariate and Random Matrix Analysis

, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth;

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Cluster Analysis 5th

of areas such as medicine, psychology, market research and bioinformatics. This fifth edition of the highly successful Cluster Analysis includes;

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Aspects of Multivariate Statistical Theory

the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and;

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Applications of Rasch Measurement in Education

This book investigates the relevant literature, mastering Rasch measurement and the Rasch Unidimensional Measurement Models (RUMM) computer;

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Applied Statistical Science III

, Exponential Families and Recursive Estimation; Some Quick Estimators Based on Sample Maxima; Inferences of Power Function Distribution Based on;

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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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Multivariate, Multilinear and Mixed Linear Models

distributions, covering identification and testing of covariance structures and means under various multivariate models, it goes on to discuss;

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Rasch Models for Solving Measurement Problems

. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation;

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Linear Models

and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank;

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Mixture Models and Applications

This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent;

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The Wadden Sea Ecosystem

distribution patterns of abiotic and biotic components over space and time and their regeneration following experimentally induced and natural;

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Copula Based Markov Models for Time Series

, Poisson distribution, and others. Presenting likelihood-based methods as the main statistical tools for fitting the models, the book details the;

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Mixture and Hidden Markov Models with R

This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models;

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Symmetric Multivariate and Related Distributions

Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been;

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Univariate Discrete Distributions

This set contains: Continuous Multivariate Distributions, Volume 1 , Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan;

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Handbook of the Logistic Distribution

This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and;

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Handbook of the Logistic Distribution

This book highlights various theoretical developments on logistic distribution, illustrates the practical utility of these results, and;

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Handbook of Mixture Analysis

on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal;

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Linear Algebra and Linear Models

as the multivariate normal distribution and distribution of quadratic forms are included. For this third edition, the material has been;

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Copulae and Multivariate Probability Distributions in Finance

and empirical work in financial economics has employed the multivariate Student (and other) distributions which are members of the;

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