Simple interpolation methods
In this example, a complete code procedure of importing data, finding missing data, and interpolating is presented.
https://www.mathworks.com/academia/books/stochastic-modeling-bonakdari.html
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**Stochastic Modeling**
*A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software*
*Hossein Bonakdari, Mohammad Zeynoddin*
*Elsevier Science, Apr 15, 2022*
*Please cite as:*
Bonakdari, H., Zeynoddin, M., (2022). Stochastic Modeling:
A Thorough Guide to Evaluate, Pre-Process, Model and Compare Time Series with MATLAB Software.
Elsevier Science. DOI: https://doi.org/10.1016/B978-0-32-391748-3.00007-0
Example 2.1 In this example, a complete code procedure of importing data, finding missing data, and interpolating is presented. In the example of time series, several types of missing data in a time series are shown.
For step by step explanation please refer to the book, Ch02.
2.1.1 Linear interpolation
2.1.3 Spline interpolation
2.1.5 Modified Akima cubic Hermite interpolation
Cite As
Hossein Bonakdari (2026). Simple interpolation methods (https://ch.mathworks.com/matlabcentral/fileexchange/127284-simple-interpolation-methods), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (38.1 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
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- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
