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probability density function

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probability density function [‚präb·ə′bil·əd·ē ¦den·səd·ē ‚fəŋk·shən]
(statistics)
A real-valued function whose integral over any set gives the probability that a random variable has values in this set. Also known as density function; frequency function.


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The observer adjusts the frequency content and amplitude of the input signals in the system with external input or chose the probability density function (PDF) in the system with unknown input.
The details of HSE model based on TLS are presented, and error analysis for the HSE is conducted by using the probability density function and cumulative probability density function.
The probability density function of a two-parameter exponential distribution is given by: f(t;[mu],[theta]) = [1/[theta]]exp{-(t-[mu])/[theta]}, t[greater than or equal to][mu] and t[greater than or equal to]0 Where: [mu] = The location parameter [theta]>0 = The scale parameter The probability distribution function is: F(t;[mu],[theta]) = 1-exp{-(t-[mu])/[theta]}.
 
 
 
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