Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 54 tok/s
Gemini 2.5 Pro 54 tok/s Pro
GPT-5 Medium 22 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 99 tok/s Pro
Kimi K2 196 tok/s Pro
GPT OSS 120B 333 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

On the average of inconsistent data (1109.5395v1)

Published 25 Sep 2011 in physics.data-an

Abstract: When data do not conform to the hypothesis of a known sampling-variance, the fitting of a constant to the set of measured values is a long debated problem. Given the data, the fitting would require to find which measurand value is most probable. A fitting procedure is here reviewed which assigns probabilities to the possible measurand values, on the assumption that the uncertainty associated with each datum is the lower bound to the standard deviation. This procedure is applied to derive an estimate of the Planck constant.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube