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where C(n) is the characteristic function with variable n; p(x) is the probability distribution function; x isp an integer and the sum is for all valid values of x; i is 1. The use of a sum and unity spacing for the values of x gives an unambiguous range for the characteristic function of p about the n axis. Beyond p the characteristic function curve repeats itself each 2p as would be expected if the omega convention was used in Section 4.2. For this reason, the characteristic functions of discrete probability distributions are shown only between the limits p. This section discusses a number of discrete probability distributions and their characteristic functions. The literature uses a number of different conventions, one of which is used here. As the letter p is used for probability function, in this section, the variable q is used for the probability of an individual trial. vb.net adobe pdf sdk Simple way to extract Text from PDF in C# . Net ? - SautinSoft
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