Weighted Least Squares Fit for Statistical Analysis of Data

  • Thread starter Thread starter Logik
  • Start date Start date
  • Tags Tags
    Fit Square
Click For Summary

Homework Help Overview

The discussion revolves around the application of weighted least squares fitting for statistical analysis of data. The original poster expresses uncertainty about the proper use of a statistical analysis sheet and the placement of Delta R in their calculations.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to clarify the role of Delta R in their equations and expresses confusion regarding the transition between specific equations. Other participants question the formatting of LaTeX expressions and the relevance of certain steps in the calculations.

Discussion Status

The discussion is ongoing, with participants seeking clarification on specific mathematical steps and formatting issues. There is an exploration of the implications of measurement errors on the calculations presented.

Contextual Notes

Participants are navigating the complexities of statistical analysis, including the handling of measurement errors and the proper structuring of equations in LaTeX format. There may be constraints related to the original poster's understanding of the statistical methods involved.

Logik
Messages
31
Reaction score
0

Homework Statement



I have a project for one of my class and I have been given a sheet to do the statistical analyst of my data. I am not convince this sheet is proper and I need someone to look over it it. I don't understand where my Delta R goes...


Homework Equations


[tex] \chi^2 =-\frac{1}{2} \sum_{i=1}^{N}{\left(\frac{y_i-ax_i}{\sigma_i^2}\right)^2} \\<br /> \frac{\partial \chi^2}{\partial a}[/tex]
[tex]= \sum_{i=1}^{N}{\frac{x_i}{\sigma_i^2}(y_i-ax_i)} = 0 \\<br /> \sum_{i=1}^{N}{\frac{x_i y_i}{\sigma_i^2}}[/tex]
[tex]= a\sum_{i=1}^{N}{\frac{x_i^2}{\sigma_i^2}} \\<br /> a= \sum_{i=1}^{N}{\frac{x_iy_i}{x_i^2}} \\<br /> \sigma_a^2 = \sum_{i=1}^{N}{\frac{x_i^2}{\sigma_i^2}} S^2 \\<br /> S^2[/tex]
[tex][/tex]
[tex]= \frac{1}{N-1}\sum_{i=1}^{N}{\frac{(y_i-ax_i)^2}{\sigma_i^2}} \\<br /> \sigma_a^2 =[/tex]
[tex]\frac{1}{N-1}\left(\sum_{i=1}^{N}{\frac{x_i^2}{\sigma_i^2}}\right)\left(\sum_{i=1}^{N}{\frac{(y_i-ax_i)^2}{\sigma_i^2}}\right) \\<br /> r_n^2 = \left(n-\frac{1}{2}\right)\lambda R \\<br /> a= \sum_{n=1}^{15}{\frac{r_n^2\left(n-\frac{1}{2}\right)}{(r_n^2)^2}} \\<br /> \sigma_a^2[/tex]
[tex]= \frac{1}{14}\left(\sum_{n=1}^{14}{\frac{(r_n^2)^2}{\sigma_r^2}}\right)\left(\sum_{i=1}^{N}{\frac{(r_n^2-a\left(n-\frac{1}{2}\right))^2}{\sigma_r^2}}\right) \\<br /> \Psi(x) = x^2 \\ <br /> \sigma_\Psi^2 = (\frac{\partial}{\partial x}(x^2)\Delta x)^2[/tex][tex]= 4x^2(\Delta x)^2 \\ <br /> \sigma_{r_n^2} = 4r_n^2(\Delta r)^2 \\<br /> \sigma_a^2 = \frac{1}{14}\left(\sum_{n=1}^{14}{\frac{(r_n^2)^2}{4r_n^2}}\right)/\left(\sum_{i=1}^{N}{\frac{(r_n^2-a\left(n-\frac{1}{2}\right))^2}{4r_n^2}}\right)[/tex]


The Attempt at a Solution



The error on r comes from the fact it's a measurement and we square it. I think Delta R should be there somewhere even though it is constant...
 
Last edited by a moderator:
Physics news on Phys.org
pdf

PDF of latex file.
 

Attachments

Logik, do not put the spaces in [ tex ] and [ /tex ].

And do NOT write a LONG formula as a single Tex statement.
It will wind up all on one page.
 
Logik - regarding your enclosure, I don't understand the step from equation (3) to equation (4). I also don't know if this is relevant to your question.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 14 ·
Replies
14
Views
2K