Statistical Studies on Sequential Probability Ratio Test for Radiation Detection Page: 2 of 6
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approximate decision is made. Mean of the thresholds of
background and source is used to help make a decision. If
the current result is less than this mean, the sample is in
background area; otherwise, the sample is in source area.
Another important parameter is the overlapping factor
denoted by ilap used to treat the sampling sequence as a
continuous sequence. Meaning of ilap is shown in Fig. 1.
Sample I
ample 2 with Hap-1
Sample 2 with ilap--1
Figure 1: Meaning of parameter ilap
In Figure 1, if ilap is negative, the distance of the beginning
of one sample to the beginning of the next is absolute value
of ilap. If ilap is positive, the distance of the beginning of
one sample to the beginning of the next is n-ilap, where n is
data points of each sample. In this experiment, n is 11. With
this argument, sample data is used efficiently, and different
samples have same pace from data points. This experiment
uses ilap as -1, meaning current sample data points start
from second point of last sample.
FIFO Algorithm:
Input:
background data;
source data;
error ratio to accept H1 when HO is true (
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Warnick Kernan, Ding Yuan, et al. Statistical Studies on Sequential Probability Ratio Test for Radiation Detection, article, July 1, 2007; United States. (https://digital.library.unt.edu/ark:/67531/metadc894493/m1/2/: accessed April 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.