There is the
distribution function (14) of the exponential distribution.
where [(X).sub.[alpha][beta]] = <a[absolute value of (X)][beta]> for electron states a and p, is the I component of the electron position vector, jk is the k component of the single electron current density operator, fa is the Fermi
distribution function for an electron with energy [E.sub.[alpha]], and [E.sub.[alpha][beta]] = [E.sub.[alpha]] - [E.sub.[beta]].
The conditional cumulative
distribution function (CCDF) of outage ([F.sup.c.sub.out]) can be expressed as
On the basis of the theory of probability and the relationship of marginal probability
distribution function, conditional probability
distribution function, and integrated probability
distribution function, we construct an integrated cost and schedule risk estimation model.
The study on the measurement of income concentration ratio conducted by Lorenz [1] (1905)was regarded as a revolution in economics and statistics, resulting in tens of thousands of papers published in magazines about statistics and econometrics and starting the research on the relationship between the
Distribution Function and income inequality.
It is common in practice to consider only the lowest-order moments of the
distribution function, which are directly related to density, charge flux, kinetic energy, heat flux, and so on.
The estimation of unknown particle shape
distribution function Fs based on the estimator of Ft is an ill-posed problem.
and to derive an evolution equation for the
distribution function. This can be done by using the macroscopic balance of mass and the mesoscopic balance of mass.
Here Y is the result of mapping the random variable x through its own Cumulative
Distribution Function. The cumulative distribution of Y can be easily computed.
In order to define a thickness
distribution function for further study, topology optimization for the shell geometry obtained with constant thickness optimization was carried out.
where F(t) is the cumulative
distribution function and [tau](t) = f(t)/F(t) is the reversed hazard function or reversed failure rate of X.