Normal Self-Product Distribution

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Discussion Overview

The discussion revolves around the evaluation of the distribution resulting from the product of a normal distribution with itself. Participants explore the case where the mean is not equal to zero and the standard deviation is also not equal to zero, seeking insights or derivations related to this specific scenario.

Discussion Character

  • Exploratory, Technical explanation, Conceptual clarification

Main Points Raised

  • One participant, Natski, inquires about the derivation of the normal self-product distribution when the mean and standard deviation are both non-zero.
  • Another participant suggests that any normally distributed random variable can be expressed in terms of a standard normal random variable, implying this might be relevant to Natski's query.
  • Natski requests an equation to express a general normal distribution in terms of the standard normal distribution.
  • A later reply provides the transformation formula, indicating that if P is a distribution with mean \mu and standard deviation \sigma, then z= (x- \mu)/\sigma follows the standard normal distribution.

Areas of Agreement / Disagreement

The discussion does not reach a consensus on the derivation of the normal self-product distribution, and multiple viewpoints regarding the transformation of normal distributions are presented.

Contextual Notes

The discussion lacks specific derivations or examples related to the product distribution, and the implications of the transformation provided are not fully explored.

natski
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Hi all,

I am trying to evaluate the distribution of a normal distribution producted with itself. On http://mathworld.wolfram.com/NormalProductDistribution.html there is a page about the product distribution in the case of two normals distributions of different standard deviations but the same mean of zero.

I was hoping someone had derived the normal self-product distribution in the case of a mean not equal to zero and a standard deviation not equal to zero. Does anyone know how to do this or where I should look?

Cheers,

Natski
 
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Any normally distributed random variable can be expressed in terms of a standard normal random variable; does that help?
 
It might do... do you have an equation of how to express a general normal distribution in terms of the standard normal distribution?
 
If P is a distribution with mean [itex]\mu[/itex] and standard deviation [itex]\sigma[/itex], then [itex]z= (x- \mu)/\sigma[/itex] has the standard normal distribution.
 

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