Likelihood of some points fitting a derived function....

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SUMMARY

The discussion centers on fitting a function to the total mass of points within concentric spherical shells and calculating the associated likelihood. The user seeks guidance on determining the appropriate sigma value for their model, which involves understanding the statistical properties of their data. Key insights include the necessity of defining a clear mathematical model and the importance of specifying the assumptions regarding the data distribution within each shell. The conversation emphasizes the relevance of the Central Limit Theorem for large datasets and the need for tailored techniques for smaller datasets.

PREREQUISITES
  • Understanding of statistical likelihood and its application in data fitting
  • Familiarity with the Central Limit Theorem and its implications for data analysis
  • Knowledge of probability distributions and their parameters, including standard deviation
  • Experience with mathematical modeling for data fitting
NEXT STEPS
  • Define a mathematical model for fitting the mass data to a function
  • Research the application of the Central Limit Theorem in data analysis
  • Explore techniques for calculating likelihood in statistical models
  • Investigate different probability distributions to determine appropriate sigma values
USEFUL FOR

Researchers, data analysts, and statisticians involved in modeling and fitting data from physical experiments, particularly those working with spherical geometries and mass distributions.

Silviu
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Hello! I have some concentrical spheres with many points inside. And I need to plot the total mass of points in each shell (so between 2 spheres) versus the radius of that shell (defined as (r1+r2)/2, where r1 and r2 are the radius of the 2 spheres forming the shell). I have 10 shells so my plot has 10 points and I want to fit them with a certain function and I need to calculate the likelihood associated with this fitting function. But for this, I need a sigma and I don't know what exactly would that be. So i know the mass, radius and number of points in each shell. I thought to take the error something like sqrt(number of particles) but I am not sure. What should I do to calculate the likelihood?

Thank you!
 
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Silviu said:
I need to calculate the likelihood associated with this fitting function.

What is the probability model for the situation ?

Unless you can state a mathematical model, you'll only get vague and general advice.

"Liklihood" is technical term in statistics, and I don't know whether you intend to use it in a technical sense. It isn't clear what random variable you are talking about when you speak of "sigma". If the data in each shell follows a different probability distribution, the data in different shells might be realization of different random variables, each with its own standard deviation.
 
Hey Silviu.

You should provide the model you want to use to fit the data and then provide the assumptions for the original data you are using.

After that, it's a matter of going through the steps [either using things like Central Limit Theorem if you have lots of data or using specific techniques if this is isn't the case].
 

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