Undergrad A few questions about doing a Gaussian Fit

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Gaussian fit and Gaussian regression are often used interchangeably, but they can refer to different contexts in data analysis. To perform a Gaussian fit on image data, one approach is to sum the values in each row, then multiply these sums by the corresponding Gaussian coefficients, as outlined in option A. Alternatively, calculating the mean of the row sums and then applying a Gaussian function could be another method, as suggested in option B. A Gaussian fit essentially involves modeling data to match a bell curve, allowing for further statistical analysis. Understanding the correct approach to fitting Gaussian functions is crucial for effective data interpretation.
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A few questions about doing a Gaussian Fit :

1) Is gaussian fit and gaussian regression the same thing ?
2) I have a gaussian function that will return a list of gaussian numbers giving an initial list length. So if you input 5 you will get:
1,2,6,4,1.
My question is if I have an image and I want to do a gaussian fit on the Rows and the Columns and graph them separately.
would I :
A) Add up all values in rows 1- 5, than multiply the value from row 1 to 1, multiply the value from row 2 to 2 , row 3 to 6, row 4 to 1, and row 5 to 1 and then repeat for the columns?
or
B) Add up all the values in my rows, then solve for the mean value, and then I am not sure what would come next ...

or is there something else I should do?
 
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Can you define exactly what a Gaussian fit is?
 
Office_Shredder said:
Can you define exactly what a Gaussian fit is?

When you take data from an image and you fit it into a Bell curve.
Actually when you take any given data.
I am told you do this, because if your data can fit in a bell curve, then you can do other, statistical Analysis to it.
 
Oh cool!
but could someone answer my questions ?
 

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