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wolfies
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In case you get stuck computing the integrals referred to in the above post, here is an automated way to proceed. Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

enter image description here

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

enter image description here

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

enter image description here

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

In the case of $\theta = 4$, the above results simplify to $E[N] = y$ and $Var(N) = y^2$.

In case you get stuck computing the integrals referred to in the above post, here is an automated way to proceed. Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

In the case of $\theta = 4$, the above results simplify to $E[N] = y$ and $Var(N) = y^2$.

In case you get stuck computing the integrals referred to in the above post, here is an automated way to proceed. Given random variable $N$ has pdf $f(n)$:

enter image description here

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

enter image description here

and the variance of $N$ is:

enter image description here

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

In the case of $\theta = 4$, the above results simplify to $E[N] = y$ and $Var(N) = y^2$.

Added special case requested
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wolfies
  • 8k
  • 1
  • 29
  • 31

In case you get stuck computing the integrals referred to in the above post, here is an automated way to proceed. Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

In the case of $\theta = 4$, the above results simplify to $E[N] = y$ and $Var(N) = y^2$.

Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

In case you get stuck computing the integrals referred to in the above post, here is an automated way to proceed. Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

In the case of $\theta = 4$, the above results simplify to $E[N] = y$ and $Var(N) = y^2$.

added 75 characters in body
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wolfies
  • 8k
  • 1
  • 29
  • 31

Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$.

Then, using the mathStatica package for Mathematica, the The mean $E[N]$$E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$.

Then, using the mathStatica package for Mathematica, the mean $E[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

Given random variable $N$ has pdf $f(n)$:

http://www.tri.org.au/se/mycustompdf.png

The density is well-defined provided $\theta>1$. The mean $E_f[N]$ is:

http://www.tri.org.au/se/meancustompdf.png

and the variance of $N$ is:

http://www.tri.org.au/se/variancecustompdf.png

where I am using the Expect and Var functions from the the mathStatica package for Mathematica to automate the nitty-gritties.

Source Link
wolfies
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