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Nonlinear Mixture Models

of nonlinear mixture models from a Bayesian perspective. It contains background material, a brief description of Markov chain theory, as well as novel;

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Nonlinear Analysis Research Trends

Non-linear analysis is a broad, interdisciplinary field characterised by a mixture of analysis, topo;...

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Progress in Nonlinear Analysis Research

Non-linear analysis is a broad, interdisciplinary field characterised by a mixture of analysis, topo;...

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Optimal Mixture Experiments

The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special;...

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Mixture Models and Applications

This book focuses on recent advances, approaches, theories and applications related to mixture model;...

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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 hidde;...

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Handbook of Mixture Analysis

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several st;...

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Nonlinear Analysis

Nonlinear analysis is a broad, interdisciplinary field characterized by a remarkable mixture of analysis, topology, and applications. Its;

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Nonparametric Statistics And Mixture Models

This festschrift includes papers authored by many collaborators, colleagues, and students of Profess;...

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Modelling Nonlinear Economic Time Series

This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic;

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Recent Advances in Estimating Nonlinear Models

Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large;

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Finite Mixture Models

An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides;...

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Limit Theorems For Nonlinear Cointegrating Regression

This book provides the limit theorems that can be used in the development of nonlinear cointegrating regression. The topics include weak;

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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 statistic;...

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Nonlinear Financial Econometrics

usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.;

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Nonlinear Financial Econometrics

usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances;

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Nonlinear Time Series Analysis

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series;

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Exact Solutions and Invariant Subspaces of Nonlinear Partial Differential Equations in Mechanics and Physics

Exact Solutions and Invariant Subspaces of Nonlinear Partial Differential Equations in Mechanics and Physics is the first book to provide a;

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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 -Intr;...

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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 -Intr;...

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Nonlinear Models for Repeated Measurement Data

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies;

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Short-Memory Linear Processes and Econometric Applications

nonlinear models (binary logit model and nonlinear model whose linearization contains slowly varying regressors). The estimation procedures include;

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Nonlinear Models for Archaeology and Anthropology

processes of change. The authors of this volume argue that archaeologists should use nonlinear models to more accurately model the connections;

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Nonlinear Models for Archaeology and Anthropology

processes of change. The authors of this volume argue that archaeologists should use nonlinear models to more accurately model the connections;

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Modeling and Analysis of Modern Fluid Problems

literature across nonlinear approximation theory. It covers Pad approximation theory, embedded-parameters perturbation, Adomian decomposition;

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State-Space Models

theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series;

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