<p><span>Exploring Modeling with Data and Differential Equations Using R</span><span> provides a unique introduction to differential equations with applications to the biological and other natural sciences. Additionally, model parameterization and simulation of stochastic differential equations are
Dynamic Data Analysis: Modeling Data with Differential Equations
โ Scribed by James Ramsay, Giles Hooker (auth.)
- Publisher
- Springer New York
- Year
- 2017
- Tongue
- English
- Leaves
- 242
- Series
- Springer Series in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xvii
Introduction to Dynamic Models....Pages 1-15
Differential Equations: Notation and Architecture....Pages 17-30
Linear Differential Equations and Systems....Pages 31-51
Nonlinear Differential Equations and Systems....Pages 53-68
Numerical Solutions ....Pages 69-81
Qualitative Behavior....Pages 83-102
Nonlinear Least Squares or Trajectory Matching....Pages 103-136
Two-Stage Least Squares or Gradient Matching....Pages 137-160
Profiled Estimation for Linear Systems Estimated by Least Squares Fitting....Pages 161-200
Profiled Estimation for Nonlinear Systems....Pages 201-220
Back Matter....Pages 221-230
โฆ Subjects
Statistical Theory and Methods;Applications of Mathematics;Big Data/Analytics;Functional Analysis
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