---
title: Fitting an Equation to Data Impartially
url: https://www.ml-quant.com/papers/doi/10-3390-math11183957/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: doi:10.3390/math11183957
source_url: http://dx.doi.org/10.3390/math11183957
featured: 2024-09-05
citations: 1
topic: Other
---


# Fitting an Equation to Data Impartially

The article introduces a new technique for estimating the linear relationship between multiple variables with measurement error. This method treats all variables equally, extends the geometric mean functional relationship to multiple dimensions, and provides a scale-invariant and simple solution for data without a specific distribution.

- Source: http://dx.doi.org/10.3390/math11183957
- Identifier: doi:10.3390/math11183957
- Released: 2024-09-04
- First featured: Quant Letter No. 64 (2024-09-05): https://www.ml-quant.com/issues/2024-09-05/
- Citations (Semantic Scholar): 1
- Published in: not yet
- Topic: Other

## Related

- [Depth Anything V2](https://www.ml-quant.com/papers/arxiv/2406.09414/): Depth Anything V2 is a new model for monocular depth estimation, using synthetic and large-scale pseudo-labeled real images for faster, more accurate results and setting a new evaluation benchmark.
- [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://www.ml-quant.com/papers/arxiv/2406.01574/): MMLU-Pro, an improved dataset, expands the Massive Multitask Language Understanding benchmark by adding tougher questions and more choices, serving as a better benchmark to monitor progress in the field.
- [Qwen2.5-Coder Technical Report](https://www.ml-quant.com/papers/arxiv/2409.12186/): The report unveils the Qwen2.5-Coder series, an improvement from its predecessor, showcasing remarkable code generation abilities and achieving top-tier performance in various code-related tasks.
- [Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives](https://www.ml-quant.com/papers/arxiv/2311.18259/): Understanding Human Activity: The paper presents Ego-Exo4D, a large-scale video dataset and benchmark challenge featuring human activities from various perspectives, aimed at improving first-person video understanding.
- [Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting](https://www.ml-quant.com/papers/arxiv/2310.10642/): The 4DGS model is introduced, capable of reconstructing dynamic 3D scenes from 2D images and generating diverse views over time, providing real-time rendering efficiency.
- [Continuous 3D Perception Model with Persistent State](https://www.ml-quant.com/papers/arxiv/2501.12387/): The paper presents CUT3R, a unified framework that uses a recurrent model to generate metric-scale pointmaps from a stream of images, enabling dense scene reconstruction that updates with new images.
