Applications of Mitscherlich Baule function: a robust regression approach
Consistent estimation techniques need to be implemented to obtain robust empirical outcomes which help policymakers formulating public policies. Therefore, Mitscherlich Baule function was implemented using robust regression model based on a growth equation. In Mitscherlich Baule Function two methods...
Saved in:
| Main Authors: | Rizwan Yousuf, Manish Sharma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis
2024-12-01
|
| Series: | Research in Statistics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27684520.2024.2321621 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Global Bauls, Local Bauls: Community, Violence and Everyday Life
by: Arnav Debnath
Published: (2020-11-01) -
Robust Regression as a Sensible Alternative to the Weighted Ordinary Least Squares Regression in case of Heteroskedasticity. A Tutorial
by: Annalisa Orenti, et al.
Published: (2024-10-01) -
Wheel Tread Dynamic Detection Benchmark Positioning Method Based on Iterative Reweighted Least-squares Line Fitting
by: LI Miaocheng, et al.
Published: (2022-02-01) -
Enhanced Three-Axis Frame and Wand-Based Multi-Camera Calibration Method Using Adaptive Iteratively Reweighted Least Squares and Comprehensive Error Integration
by: Oleksandr Yuhai, et al.
Published: (2024-09-01) -
HuberAIME: A Robust Approach to Explainable AI in the Presence of Outliers
by: Takafumi Nakanishi
Published: (2025-01-01)