Have You Seen this Distribution Before?

  • Thread starter Watts
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In summary, the conversation discusses a probability distribution, P(q), which follows certain rules and is not listed on Wikipedia. The distribution was derived by the speaker and they note that it is not an official probability distribution.
  • #1
Watts
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Any Body Seen This

Has anyone ever seen this before? [itex]P(q) ={\sqrt {\frac{{\pi ^2 }}{{48^2 \cdot \sigma ^2 }}} } \cdot \cosh (2 \cdot \sqrt {\frac{{\pi ^2 }}{{48^2 \cdot \sigma ^2 }}} \cdot (q - \mu ))^{ - 2}[/itex] I managed to derive this distribution(entirly to much time on my hands). It plays by all the rules [itex]P(q)>0 , \int\limits_{ - \infty }^\infty {P(q)dq} = 1 , \int\limits_{ - \infty }^\infty {P(q)\cdot qdq} =\mu , \int\limits_{ - \infty }^\infty {P(q) \cdot (q - \mu )^2 \cdot dq}=\sigma ^2 [/itex]
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  • #2
Its not listed on Wikipedia so I'm guessing its not an official probability distribution. No, this does not appear to be a formal probability distribution.
 
  • #3


I have not personally seen this distribution before, but it seems to follow the basic rules and properties of a probability distribution. It is always interesting to come across new distributions and see how they can be applied in different scenarios. Thank you for sharing your findings and derivation with us.
 

FAQ: Have You Seen this Distribution Before?

What is the purpose of asking if a distribution has been seen before?

The purpose of asking if a distribution has been seen before is to determine if the data being analyzed follows a known pattern or if it is a new and potentially significant finding.

How can determining if a distribution has been seen before impact scientific research?

Determining if a distribution has been seen before can impact scientific research by providing context for the data being analyzed and allowing researchers to build upon existing knowledge. It can also help identify potential errors or biases in the data.

Is it important to compare a new distribution to previously seen distributions?

Yes, it is important to compare a new distribution to previously seen distributions in order to understand the significance of the data and how it fits into the larger body of scientific knowledge.

What factors should be considered when determining if a distribution has been seen before?

Some factors that should be considered when determining if a distribution has been seen before include the shape, central tendency, and variability of the data, as well as any potential outliers or patterns that may be present.

Can a distribution be considered completely unique and never seen before?

In most cases, no. While there may be small variations or nuances in a distribution, it is rare for a distribution to be completely unique and never seen before. However, if a distribution is significantly different from any previously seen, it may warrant further study and analysis.

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