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Read or load a PDF file and extract its text content in C# and VB.NET application with GemBox.Document library. This analytical approximation is symmetric (Fig. 18.25). As shown in Figure 18.25, 68.3% of the measured values lie within +1s of the mean, xm. Furthermore 95.5% of all measurements lie within +2s of the mean and 99.7% lie within +3s of the mean. The full width at half maximum (FWHM) is 2.35s. Thus, for a single measurement of a count rate of 100, we would estimate that s 10. We could say, with a 68.3% chance of being correct that the true rate was between 100 2 10 90 and 100 10 110. With 95.5% certainty, we could say the true rate lies between 80 and 120. Generalizing, we can quote the results of a measurement as x + ns where n is related to the probability that an in nite number of measurements would give a value within the quoted range. For n 0.6745, 1, 1.6449, 1.96, 2, 2.5758, 3, the con dence limits are 50, 68.3, 90, 95, 95.5, 99, and 99.7%, respectively. Commonly, people will quote the results of a measurement as x + s. One should remember that doing so means one will be wrong 31.7% of the time, that is, the mean count rate will be outside x + s. If this risk is not acceptable, one should pick a greater con dence level, that is, 2s, 3s, and so forth. Another distribution function of interest relates to the distribution of time intervals between successive counts. We know the average time between counts is (1/count rate). The distribution of time intervals is given by the interval distribution. This distribution (applicable to all random events) states that for a process with an average time between events tm, the probability of getting a time t between successive events is I(t) 1 t dt exp tm tm (18:18) c# pdf C# PDF Library to create the best C# PDF Apps without reading ...
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