Oct 14, 2011 #1 T talking Member level 2 Joined Jan 27, 2010 Messages 44 Helped 0 Reputation 0 Reaction score 0 Trophy points 1,286 Activity points 1,654 ∫ [ N^2 * pdf(N) ] dN = ? I'm deriving equations, and I'm stuck at the following. +inf ∫ [ N^2 * pdf(N) ] dN = ? -inf where N: random variable,pdf: Gaussian probability distribution function. Can we express the above equation without pdf(N) or whatever we can derive? Thanks, Last edited: Oct 14, 2011
∫ [ N^2 * pdf(N) ] dN = ? I'm deriving equations, and I'm stuck at the following. +inf ∫ [ N^2 * pdf(N) ] dN = ? -inf where N: random variable,pdf: Gaussian probability distribution function. Can we express the above equation without pdf(N) or whatever we can derive? Thanks,
Oct 14, 2011 #2 Z zorro Advanced Member level 4 Joined Sep 6, 2001 Messages 1,130 Helped 357 Reputation 712 Reaction score 298 Trophy points 1,363 Location Argentina Activity points 8,916 Hi talking, If I understand your post, you are asking for the second moment of a Gaussian distribution (of zero mean). It is sigma^2. Regards Z
Hi talking, If I understand your post, you are asking for the second moment of a Gaussian distribution (of zero mean). It is sigma^2. Regards Z
Oct 14, 2011 #3 T talking Member level 2 Joined Jan 27, 2010 Messages 44 Helped 0 Reputation 0 Reaction score 0 Trophy points 1,286 Activity points 1,654 Thank you so much for help, Zorro. You answer accelerated my research!!!