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Is it true that multiplication of a chi-square random variable by a real constant remains chi-square? I tried to check this using a change of variables, but it didn't look promising.

half-pass
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3 Answers3

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Multiplication by a constant changes the scale parameter of a gamma distribution. Since a chi-squared distribution is a special case of a gamma distribution with scale equal to $2$, it is easy to see that if you multiply the random variable with a constant it no longer follows the chi-squared distribution.

JohnK
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Well, I suspect this is self-study, here are some hints:

  • The characteristic function of a $\chi^2$ is $\phi(t)=(1-2it)^{-k/2}$
  • The characteristic function of a $\Gamma(k,\theta)$ is $\phi(t)=(1-\theta it)^{-k}$

(where I worked with wikipedia's notations).

What can you say about $\phi_{cX}$ and $\phi_X$ ?

RUser4512
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It is not true that multiplication of a chi-square random variable by a real constant remains chi-square.

Chi-square is sum of square of independent standard normal distribution. Multiplying a non-one constant will make the summation not by standard normal anymore.

Tan
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  • Yes, therefore it should be called "scaled chi-square", as kjetil b halvorsen commented :-) – Ute Oct 01 '23 at 11:27