Modeling in Mathematics /
edited by Olga Moreira.
- Oakville, Ontario : Arcler Press, c2020.
- xiii, 365 pages : color illustrations
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
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.
In English text.
Mathematical models.
Geometric analysis.
EBOP QA 401 / M63 2020
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
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.
In English text.
Mathematical models.
Geometric analysis.
EBOP QA 401 / M63 2020