Dixon Statistical Test: Deriving Density Function

In summary, Dixon's method for extreme values involves considering n ordered values from a normal distribution and defining two equations for a critical value and a density function. The derivation of the density function is unclear and further explanation or reference is needed.
  • #1
mpv55
9
0
Recently, I was reading the Dixon (Annals Math. Stat. 22, (1951) 68-78) method for extreme (outliers) values. He considered that there are n ordered values (x1, x2, ...xn) of an analytical measurement. The values belong to a normal distribution. He defined two equations:
1. For Critical value

r01=[tex]\frac{xn-xn-1}{xn-x1}[/tex]


2. The density function for x1, xn-1, xn is

[tex]\frac{n!}{(n-3)!}[/tex]f(x1)dx1([tex]\ointx1xn-1f(t)dt[/tex])n-3 f(xn-1)dxn-1f(xn) dxn

I will appreciate if someone explains the derivation of the density function or site some reference which explains it.

Thanks
 
Last edited:
Physics news on Phys.org
  • #2
Mixing in the "SUB" tag in between LaTex expressions seems to screw up the LaTex display. I can't make out what the density function is supposed to be. Can you revise it using the underscore ? (such as using the notation x_{n-1} for x with a subscript of n-1).
 

Related to Dixon Statistical Test: Deriving Density Function

1. What is the Dixon Statistical Test?

The Dixon Statistical Test, also known as the Dixon Q Test, is a statistical test used to detect outliers in a data set. It is commonly used in quality control and research studies to identify data points that may significantly deviate from the expected values.

2. How does the Dixon Statistical Test work?

The Dixon Statistical Test works by comparing a data point to the rest of the data set. It calculates the difference between the data point and its nearest neighbor, and then compares it to a critical value based on the size of the data set. If the calculated difference is greater than the critical value, the data point is considered an outlier.

3. What is the purpose of deriving the density function in the Dixon Statistical Test?

The density function in the Dixon Statistical Test is used to calculate the critical values for the test. It takes into account the size of the data set and the significance level chosen by the researcher. This allows for a more accurate determination of outliers in the data set.

4. Can the Dixon Statistical Test be used for any type of data set?

No, the Dixon Statistical Test is only suitable for data sets with a unimodal distribution (i.e. one peak). It is not recommended for data sets with multiple peaks or non-normal distributions.

5. Are there any limitations to the Dixon Statistical Test?

Yes, the Dixon Statistical Test has some limitations. It may not work well for small data sets (less than 15 data points) or data sets with extreme outliers. It also assumes that the data is normally distributed, so it may not be appropriate for non-normal data sets.

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
878
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
757
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
939
Replies
4
Views
387
  • Set Theory, Logic, Probability, Statistics
Replies
9
Views
2K
  • Calculus and Beyond Homework Help
Replies
10
Views
892
Back
Top