Erlang distribution Erlangian distribution
1.Distribution :
5.Furthermore, the new property of conditional Erlang distribution is proved, by which the distribution of stationary waiting time is obtained.
6.By statistical analysis,their distribution charac- ters are deduced that the non-production waiting time follows the Erlang distribution,while the fuel price fol- lows Weibull distribution.
7.By the property of conditional Erlang distribution, the distributionof stationary waiting time is gained;
8.The deceleration probability in the new model does not obey a certain random distribution but follows a broad general distribution---the Erlang distribution. In the process of the simulation, the parameter values of the Erlang distribution are also changed randomly, which describes the real traffic state more accurately.
9.In this paper, we prove that the conditional distribution of X(k) is a Erlang distribution with parameter (γ + κ,λ +μ) under the condition X(r) < Y(k) < X(r+1) by conditional distribution, we call this result as the biparametric additive theorem of conditional Erlang distribution.
10.(3) In terms of daily arrival data, statistic and analyze ship flows laws. among which, daily arriving ship according with Normal Distribution, the average headway according with Erlang Distribution approximately.
