By Lou Drendel

Booklet by means of Drendel, Lou

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Extra resources for USAF Phantoms in Combat

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11), which is to be compared with the decision threshold Ar, is referred to as a test statistic. Here it is just a linear combination of the normally distributed random variables Z\. 11) we obtain a general expression for the false alarm and non-detection probabilities a and /? associated with the normally distributed test statistic S: The expected value of a linear combination of random variables is a linear combination of the expected values of the random variables. The variance of a linear combination of uncorrelated random variables is the linear combination of the variances of the random variables with squared coefficients.

Looking first of all at a single class (also commonly referred to as stratum) of data, by which is meant a homogeneous population of reported items or events having similar characteristics, a few simple but important statistical concepts will be introduced. 2 One Class 17 naturally, leading to a rather general solution with direct application to the problem at hand. We won't restrict ourselves to the purely utilitarian goal of determining optimal sampling plans, but will also discuss some of the interesting systems aspects such as the externally given verification objectives, the internalized parameters and some general features of the solutions.

K, so once again the optimal sample sizes are proportional to the maximum possible falsifications in a given class. 1. g. 2 reduces to a solution to the attribute sampling problem which has come to be known as the 'IAEA formula', documented in IAEA (1980). It is used extensively by the International Atomic Energy Agency in routine inspections under its various non-proliferation agreements. 2. Let each item of the ith class of reported data have magnitude /i,(rather than nfax). Then the inspectee has to falsify r* = \il\x\ data of the rth class should he wish to confine his falsification to one class.

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