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|entropy = <math>\begin{align}\frac{k}{2}&+\ln(2\Gamma(k/2)) \\ &\!+(1-k/2)\psi(k/2)\end{align}</math> |
|entropy = <math>\begin{align}\frac{k}{2}&+\ln(2\Gamma(k/2)) \\ &\!+(1-k/2)\psi(k/2)\end{align}</math> |
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|mgf = <math>(1-2\,t)^{-k/2}</math>,<math>2\,t<1</math> |
|mgf = <math>(1-2\,t)^{-k/2}</math>,<math>2\,t<1</math> |
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|char = <math>(1-2\,i\,t)^{-k/2}</math><ref>{{cite web | url=http://www.planetmathematics.com/CentralChiDistr.pdf | title=Characteristic function of the central chi-squared distribution | author=M.A. Sanders | accessdate=2009-03-06 |
|char = <math>(1-2\,i\,t)^{-k/2}</math><ref>{{cite web | url=http://www.planetmathematics.com/CentralChiDistr.pdf | title=Characteristic function of the central chi-squared distribution | author=M.A. Sanders | accessdate=2009-03-06 }}</ref> |
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