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Structural equation modeling (SEM) is a general, crosssectional statistical modeling technique. The chapters in this book propose a Bayesian approach based on SEM; an examination of predictors and outcomes related to school climate using latent class analysis and the testing of specific effects and contrasts in three types of mediation models followed by a discussion…

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This book focuses on hierarchical organizational structures. Secondly, the authors perform modeling in the context of solving control problems. Next, the conditions of corrupting a major task of control consisting of ensuring sustainable development of modeled hierarchical organizations are reviewed. Here, the authors proceed from the original concept of sustainable management (Ougolnitsky, 2002, 2005, 2010,…

Iterative Algorithms I
$270.00Quick ViewIt is a wellknown fact that iterative methods have been studied concerning problems where mathematicians cannot find a solution in a closed form. There exist methods with different behaviors when they are applied to different functions and methods with higher order of convergence, methods with great zones of convergence, methods which do not require the…

Models and Methods for Supporting DecisionMaking in Human Health and Environment Protection
$190.00Quick ViewThis book aims to present models and methods for objective analysis associated with human health and environment protection. The content deals mainly with specific models based on statistics, operational research and mathematical logic, as well as the need for developing efficient software. Other books have approached the themes covered in this volume. However, they do…

Mathematical Models of Economic Growth and Crises
Mathematics Research Developments, Economic Issues, Problems and Perspectives, Mathematical Modeling, Mathematics and Statistics$160.00Quick ViewThe main goal of this book is to present coherent mathematical models to describe an economic growth and related economic issues. The book is a continuation of the author’s previous book Mathematical Dynamics of Economic Markets, which presented mathematical models of economic forces acting on the markets. In his previous book, the author described a…

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Mathematical modeling in the form of differential equations is a branch of applied mathematics that includes topics from physics, engineering, environmental and computer science. The mathematical model is an approximate description of real processes. Mathematical modeling can be thought of as a three step process: 1) Physical situation 2) Mathematical formulation 3) Solution by purely…

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Mathematical Modeling: Methods, Applications and Research reviews recent progress in three different propulsion systems which may offer significant advantages for more efficient, compact and adaptive astronautic vehicles in the mid21st century: swirling nuclear magnetohydrodynamic propulsion, biomimetic magnetorheological propulsion and electrohydrodynamic propulsion systems. The authors introduce an empirical mathematical model. This model has been developed to…

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Bayesian Inference: Observations and Applications discusses standard Bayesian inference, in which apriori distributions are standard probability distributions. In some cases, however, a more general form of apriori distributions (fuzzy apriori densities) is suitable to model apriori information. The combination of fuzziness and stochastic uncertainty calls for a generalization of Bayesian inference, i.e. fuzzy Bayesian inference.…

Fuzzy Modeling and Control: Methods, Applications and Research
Mathematics Research Developments, Mathematical Modeling, Mathematics and Statistics, Science and Technology$95.00Quick ViewFuzzy Modeling and Control: Methods, Applications and Research opens by recommending a new fuzzy RANSAC algorithm based on the reinforcement learning concept to improve modeling performance under the outlier noise. The authors also propose a novel methodology for online modeling of multivariable Hammerstein evolving fuzzy models with minimum realization in state space from experimental data.…

Mathematical Modeling for the Solution of Equations and Systems of Equations with Applications. Volume I
Mathematics Research Developments, Mathematical Modeling, Mathematics and Statistics, Science and Technology$230.00Quick ViewThis book is dedicated to the approximation of solutions of nonlinear equations using iterative methods. The study about convergence matter of iterative methods is usually based on two categories: semilocal and local convergence analysis. The semilocal convergence category is, based on the information around an initial point, to provide criteria ensuring the convergence of the…

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This book is dedicated to the approximation of solutions of nonlinear equations using iterative methods. The study about convergence matter of iterative methods is usually based on two categories: semilocal and local convergence analysis. The semilocal convergence category is, based on the information around an initial point, to provide criteria ensuring the convergence of the…
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