Dynamic Data Analysis Modeling Data with Differential Equations
However, a researcher interested in fitting such amodel to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap. Offers an accessible text to those with little or no exposure to differential eq...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2017, 2017
|
| Edition: | 1st ed. 2017 |
| Series: | Springer Series in Statistics
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction to Dynamic Models
- 2 DE notation and types
- 3 Linear Differential Equations and Systems
- 4 Nonlinear Differential Equations
- 5 Numerical Solutions
- 6 Qualitative Behavior
- 7 Trajectory Matching
- 8 Gradient Matching
- 9 Profiling for Linear Systems
- 10 Nonlinear Profiling
- References
- Glossary
- Index