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Irwin-Hall distribution
   
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In probability theory and statistics, the Irwin-Hall distribution is a continuous probability distribution of the sum of n i.i.d. U(0,1) random variables:


X = \sum_{k=1}^n U_k.

For this reason it is also known as the uniform sum distribution. The probability density function (pdf) is given by


f_X(x)=\frac{1}{2\left(n-1\right)!}\sum_{k=0}^{n}\left(-1\right)^k{n \choose k}\left(x-k\right)^{n-1}\sgn(x-k)

where sgn(x - k) denotes the sign function:

 \sgn\left(x-k\right) = \left\{ \begin{matrix} 
-1 & : &  x < k \\
0 & : &  x = k \\
1 & : &  x > k. \end{matrix} \right.

Thus the pdf is a spline (piecewise polynomial function) of degree n - 1 over the knots 0, 1, ..., n. In fact, for x between the knots located at k and k + 1, the pdf is equal to


f_X(x) = \frac{1}{\left(n-1\right)!}\sum_{j=0}^{n-1} a_j(k,n) x^j

where the coefficients aj(k,n) may be found from a recurrence relation over k


a_j(k,n)=\begin{cases}I(j=n-1)&k=0\\
a_j(k-1,n) + \left(-1\right)^{n+k-j-1}{n\choose
  k}{{n-1}\choose j}k^{n-j-1} &k>0\end{cases}

The mean and variance are n/2 and n/12, respectively.

Special cases


f_X(x)= \begin{cases}
1        & 0\le x \le 1
\end{cases}

f_X(x)= \begin{cases}
x        & 0\le x \le 1\\
2-x      & 1\le x \le 2
\end{cases}
  • For n = 3,

f_X(x)= \begin{cases}
\frac{1}{2}x^2                         & 0\le x \le 1\\
\frac{1}{2}\left(-2x^2 + 6x - 3 \right)& 1\le x \le 2\\
\frac{1}{2}\left(x^2 - 6x +9 \right)  & 2\le x \le 3
\end{cases}
  • For n = 4,

f_X(x)= \begin{cases}
\frac{1}{6}x^3                         & 0\le x \le 1\\
\frac{1}{6}\left(-3x^3 + 12x^2 - 12x+4 \right)& 1\le x \le 2\\
\frac{1}{6}\left(3x^3 - 24x^2 +60x-44 \right)  & 2\le x \le 3\\
\frac{1}{6}\left(-x^3 + 12x^2 -48x+64 \right)  & 3\le x \le 4
\end{cases}
  • For n = 5,

f_X(x)= \begin{cases}
\frac{1}{24}x^4                         & 0\le x \le 1\\
\frac{1}{24}\left(-4x^4 + 20x^3 - 30x^2+20x-5 \right)& 1\le x \le 2\\
\frac{1}{24}\left(6x^4-60x^3+210x^2-300x+155 \right)  & 2\le x \le 3\\
\frac{1}{24}\left(-4x^4+60x^3-330x^2+780x-655 \right)  & 3\le x \le 4\\
\frac{1}{24}\left(x^4-20x^3+150x^2-500x+625\right) &4\le x\le5
\end{cases}

References

  • Hall, Philip. (1927) "The Distribution of Means for Samples of Size N Drawn from a Population in which the Variate Takes Values Between 0 and 1, All Such Values Being Equally Probable". Biometrika, Vol. 19, No. 3/4., pp. 240-245.
  • Irwin, J.O. (1927) "On the Frequency Distribution of the Means of Samples from a Population Having any Law of Frequency with Finite Moments, with Special Reference to Pearson's Type II". Biometrika, Vol. 19, No. 3/4., pp. 225-239.


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