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Modeling in Mathematics / edited by Olga Moreira.

Contributor(s): Moreira, Olga, editorMaterial type: TextTextPublisher: Oakville, Ontario : Arcler Press, c2020Description: xiii, 365 pages : color illustrationsContent type: text Media type: computer Carrier type: online resourceSubject(s): Mathematical models | Geometric analysisLOC classification: EBOP QA 401 | M63 2020Online resources: Electronic Resources https://www.bibliotex.com/product/modeling-in-mathematics
Contents:
Chapter 1: A Statistical and Spectral model for Representing Noisy Sounds with Short-Time Sinusoids Chapter 2: Robust Bayesian Regularized Estimation Based on Regression Model Chapter 3: Robust Quadratic Regression and Its Application to Energy-Growth Consumption Problem Chapter 4: Intuitionistic Fuzzy Weighted Linear Regression Model with Fuzzy Entropy under Linear Restrictions Chapter 5: A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application Chapter 6: A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements Chapter 7: Dynamical Analysis in Explicit Continuous Iteration Algorithm and its Applications Chapter 8: A New Statibility Analysis of uncertain Delay Differential Equations Chapter 9: Dynamical Analysis ad Chaos Control of a Discrete SIS Epidemic Model Chapter 10: Applications of Parameterized Nonlinear Ordinary Differential Equations and Dynamic Systems: An Example of the Taiwan Stock Index Chapter 11: Electricity Market Stochastic Dynamic Model and its Mean Stability Analysis Chapter 12: Using Artificial Neural Networks to Predict Solar Irraddiation Chapter 13: Modeling of Relative Intensity Noise And Terminal Electrical Noise of Semiconductor Lasers Using Artificial Neural Network Chapter 14: Quantum-Like Bayesian Networks for Modeling Decision Making
Summary: Modeling in Mathematics deals with the concept of modeling in the field of mathematics. It includes a statistical and spectral model for representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model with fuzzy entropy under linear restrictions, a hybrid approach of stepwise regression, logistic regression, support vector machine, and decision tree for forecasting fraudulent financial statements, dynamical analysis in explicit continuous iteration algorithm and its applications, dynamical analysis and chaos control of a discrete sis epidemic model, electricity market stochastic dynamic model and its mean stability analysis and using artificial neural networks to predict direct solar irradiation.
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E-Books E-Books Cavite State University - CCAT Campus
Electronic Resources ER EBOP QA 401 M63 2020 (Browse shelf) 1 copy Available EBOP0000020

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Includes references and index.

Chapter 1: A Statistical and Spectral model for Representing Noisy Sounds with Short-Time Sinusoids
Chapter 2: Robust Bayesian Regularized Estimation Based on Regression Model
Chapter 3: Robust Quadratic Regression and Its Application to Energy-Growth Consumption Problem
Chapter 4: Intuitionistic Fuzzy Weighted Linear Regression Model with Fuzzy Entropy under Linear Restrictions
Chapter 5: A New Method of Hypothesis Test for Truncated Spline Nonparametric Regression Influenced by Spatial Heterogeneity and Application
Chapter 6: A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements
Chapter 7: Dynamical Analysis in Explicit Continuous Iteration Algorithm and its Applications
Chapter 8: A New Statibility Analysis of uncertain Delay Differential Equations
Chapter 9: Dynamical Analysis ad Chaos Control of a Discrete SIS Epidemic Model
Chapter 10: Applications of Parameterized Nonlinear Ordinary Differential Equations and Dynamic Systems: An Example of the Taiwan Stock Index
Chapter 11: Electricity Market Stochastic Dynamic Model and its Mean Stability Analysis
Chapter 12: Using Artificial Neural Networks to Predict Solar Irraddiation
Chapter 13: Modeling of Relative Intensity Noise And Terminal Electrical Noise of Semiconductor Lasers Using Artificial Neural Network
Chapter 14: Quantum-Like Bayesian Networks for Modeling Decision Making

Modeling in Mathematics deals with the concept of modeling in the field of mathematics. It includes a statistical and spectral model for representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model with fuzzy entropy under linear restrictions, a hybrid approach of stepwise regression, logistic regression, support vector machine, and decision tree for forecasting fraudulent financial statements, dynamical analysis in explicit continuous iteration algorithm and its applications, dynamical analysis and chaos control of a discrete sis epidemic model, electricity market stochastic dynamic model and its mean stability analysis and using artificial neural networks to predict direct solar irradiation.

EBOP00020 1

In English text.

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