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Towards Intelligent Modeling: Statistical Approximation Theory

limit fails. The results of this book not only cover the classical and statistical approximation theory, but also are applied in the fuzzy logic;

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Advances in Summability and Approximation Theory

areas of research in approximation theory. Presenting original papers by internationally recognized authors, the book is of interest to a wide;

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Advances in Intelligent Data Analysis XIX

This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take;

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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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Approximation and Modeling with B-Splines

B-splines are fundamental to approximation and data fitting, geometric modeling, automated manufacturing, computer graphics, and numerical;

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Advanced Mean Field Methods - Theory & Practice

, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling. A major problem;

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Statistical Modeling Using Local Gaussian Approximation

Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the;

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Multiscale Signal Analysis and Modeling

statistical learning theory.;

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Pricing Analytics

the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly;

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Pricing Analytics

get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory;

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Road Traffic Modeling and Management

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing;

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Statistical Modeling & Inference for Soc

knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the;

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Statistical Modeling and Inference for Social Science

knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the;

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Adaptive Stochastic Methods

Adaptive Importance Sampling Method Based on Piecewise Constant Approximation Part II: Solution of Integral Equations Semi-Statistical;

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Intelligent and Adaptive Systems in Medicine

medical examples. Bringing together theory and practice, this volume describes the application of adaptive and intelligent control as well as;

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Intelligent and Adaptive Systems in Medicine

medical examples. Bringing together theory and practice, this volume describes the application of adaptive and intelligent control as well as;

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Intelligent Decision Technologies 2018

several sections devoted to specific topics, such as: * Decision-Making Theory for Economics * Advances in Knowledge-based Statistical Data;

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Modeling Approximation In Heat Transfer

Engineers face many challenges in systems design and research. Modeling and Approximation in Heat Transfer describes the approach to;

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Neural Network Modeling

Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network;

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Modeling Hydrologic Change: Statistical Methods

within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling;

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Interpolation and Extrapolation Optimal Designs V1

approximation of functions, the authors introduce the basic elements to design planning and link the statistical theory of optimal design and the theory;

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Acoustic Echo and Noise Control

methods to control echo and noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation;

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Operator Theory and Differential Equations

integral operators, partial differential operators) to important applications in differential equations, inverse problems, approximation theory;

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Econometric Modeling

. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing;

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Growth Curve Modeling

Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory;

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Statistical Modeling and Computation

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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