# probability mass function

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## probability mass function

[‚präb·ə′bil·əd·ē ¦mas ‚fəŋk·shən]
(statistics)
A function which gives the relative frequency of each possible value of the random variable in an experiment involving a discrete set of outcomes. Abbreviated p.m.f.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
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The fading measurements have been addressed by the mean and covariance of the variable which depend on the distribution law of each probability mass function. Based on the projection theory, the linear minimum variance optimal linear estimators, including filter, predictor, and smoother have been proposed.
This section presents the method proposed in this paper in order to detect road elements based on the probability mass function measured at each particular location after filtering slow traffic conditions.
Suppose C is the set of all the covers, and it is an assumption that the selections of the covers and stegos from the set C can be described by the random variables c and s on C with the probability mass functions (PMF) [P.sub.c] and [P.sub.s], respectively.
For multifractal measures, the probability mass function in each segment, [p.sub.i],([delta]), also scales with segment size [delta] as [p.sub.], ([delta])[alpha][[delta].sup.[alpha]i], where [[alpha].sub.i] = log [[mu].sub.i]([delta])/ /logS is the Lipschitz-Holder relationship which describes the scaling property to each i-th segment.
(i) Code Construction for Case 1.Given a pair (R, [R.sub.e]), choose a joint probability mass function [p.sub.U, A, S, X, Y, Z](u, a, s, x, y, z) such that
As [theta] grows large, (1) converges to the probability mass function of a Poisson random variable.
The pair (X, P) will be used to denote the random vector X together with the probability mass function P on the sample space [2.sup.[omega]] = [2.sup.{1, ...
CL is defined in terms of the binomial probability mass function, also called the binomial discrete density function, b(m; n,p),
The possible signal values are denoted by [lambda], and Pr(x = l) is the probability mass function (PMF) of X.
Denoting as [THETA] the (unknown) accident proneness of this policyholder, the conditional probability mass function of N is given by

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