By Miatello R.J.

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One commonly used distribution for which an inverse can be easily calculated is the exponential distribution. 11 ) where 'Y) is a constant. 11 may be the fraction of particles removed from a parallel beam of particles by scattering or absorption after passing a distance x through a uniform material, or it may be the fraction of a population of radioactive nuclei that have decayed after C If the set {x:f(x)=O}, where f(x) is a pdf, is a Lebesque measurable set with measure greater than zero, for x in the range of interest, then F') does not exist for x in that range.

X2, ... 22) Finally, the standard deviation, cr, of the set of numbers is the positive square root of the variance. 23) -00 This is also referred to as the first moment of V. 25) -00 The variance of a continuous random variable V is the second central moment of V, which is the expected value of [V - E(V)f, or 33 2. 26) -00 Again, the standard deviation cr of a continuous random variable V is the positive square root of the variance of V. 29 is useful for calculating or estimating the variance of a random variable.

Since the points are selected from a uniform distribution over the space S, the distribution of the accepted points is also uniform over the enclosed space S'. For the rejection technique to be efficient, it is necessary to ensure that the fraction of points that are rejected is small. This means that the volume of S should not be much larger than the volume of S', since the ratio of the volumes S'/S will determine the expected fraction of all the points chosen that will be accepted. It is also important that the process for choosing the randomly selected points within S be as simple as possible so that a minimum amount of time is spent in accepting or rejecting the points.