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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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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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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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Finite Mixture Models

and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream;

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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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Higher-Order Growth Curves and Mixture Modeling with Mplus

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models;

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Higher-Order Growth Curves and Mixture Modeling with Mplus

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models;

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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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Nonparametric Statistics And Mixture Models

This festschrift includes papers authored by many collaborators, colleagues, and students of Professor Thomas P Hettmansperger, who worked;

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Mixture Modelling for Medical and Health Sciences

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and;

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Mixture Modelling for Medical and Health Sciences

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and;

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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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Structural Equation Modeling

conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models;

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Bayesian Non- and Semi-parametric Methods and Applications

This book reviews and develops Bayesian non-parametric and semi-parametric methods for applications in microeconometrics and quantitative;

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Nonlinear Analysis Research Trends

Non-linear analysis is a broad, interdisciplinary field characterised by a mixture of analysis, topology, and applications. Its concepts;

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Nonlinear Mixture Models

algorithms and their applications. It is self-contained and unified in presentation, which makes it ideal for use as an advanced textbook by graduate;

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Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a;

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Mixture Model-Based Classification

This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a;

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Progress in Nonlinear Analysis Research

Non-linear analysis is a broad, interdisciplinary field characterised by a mixture of analysis, topology, and applications. Its concepts;

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Bayesian Speech & Language Processing

in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models;

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Concrete Mixture Proportioning

admixtures, fibres and supplementary cementitious materials. Moreover, the list of properties which concretes are required to possess for certain;

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Medical Applications of Finite Mixture Models

linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author's point of view biostatis;

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Computational Modeling of Cognition and Behavior

Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow;

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Computational Modeling of Cognition and Behavior

Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow;

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Models and Designs for Generalizations of Mixture Experiments Where the Response Depends on the Total Amount

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Models and Designs for Generalizations of Mixture Experiments Where the Response Depends on the Total Amount

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Finite Mixture of Skewed Distributions

mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate;

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