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book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental;
Vergelijkbare producten zoals Nonlinear Regression Modeling for Engineering Applications
mishandled aspects of modeling R packages for both classical and robust nonlinear regression are presented in detail in the book and on an;
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This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;
Vergelijkbare producten zoals Statistical Regression Modeling with R
This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;
Vergelijkbare producten zoals Statistical Regression Modeling with R
This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;
Vergelijkbare producten zoals Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog
This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;
Vergelijkbare producten zoals Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology
when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for;
Vergelijkbare producten zoals Adaptive Regression for Modeling Nonlinear Relationships
This book analyzes the updated principles and applications of nonlinear approaches to solve engineering and physics problems. The knowledge;
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regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction;
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neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to;
Vergelijkbare producten zoals Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number
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in informatics, identification and modeling for complex nonlinear systems, and computational finance. In addition, the book serves as a valuable;
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engineering research, such as regression theory, linear and nonlinear systems theory, and the Fourier transform, are explained. Derivations;
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This book focuses on the latest applications of nonlinear approaches in engineering and addresses a range of scientific problems. Examples;
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Modeling of Chemical and Biochemical Data presents the fundamental basis and procedures of data modeling by computer using nonlinear regression;
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...highly recommend[ed] ...for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models;
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. Illustrating mathematical modeling applications to nonlinear physics and nonlinear engineering, the book is ideal for academic and industrial;
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on Perturbed Orbits *Optimal Robust Design of Hybrid Rocket Engines *Nonlinear Regression Analysis in Space Engineering *Regression;
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presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and;
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elementary concepts of mixed-integer linear nonlinear optimization. Topics that are unique include the theory and methods for mixed-integer non;
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Chaos and nonlinear dynamics initially developed as a new emergent field with its foundation in physics and applied mathematics. The highly;
Vergelijkbare producten zoals Applications of Chaos and Nonlinear Dynamics in Engineering - Vol. 1
nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression;
Vergelijkbare producten zoals Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression;
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Nonlinear Dynamics of Reservoir Mixtures provides an overview of modeling techniques for solving nonlinear problems in hydrodynamics, with;
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results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;
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results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important;
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methods allow for the incorporation of prior information, allowing the user to make coherent inference. Bayesian Methods for Nonlinear;
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