에 의해 게시 에 의해 게시 Donald Schaefer
1. For the Erlang Distribution App three data parameters for the Real Rate of Change ( λ ), Scale ( μ ) and Shape ( k ) are input via sliders to compute PDF and CDF values and the Erlang mean and variance.
2. The intervals between call arrivals is then an Exponential distribution, and the sum of k such distributions is an Erlang distribution (i.e. the time before the kth call arrives), so the Poisson, Exponential, Erlang and Gamma distributions are very closely related to one another.
3. The Erlang distribution can be used to model the time to complete n operations in series, where each operation requires an exponential period of time to complete.
4. The Erlang distribution is utilized to examine the number of telephone calls which might be made at the same time to the operators of the switching stations.
5. The Erlang distribution is a two parameter family of continuous probability distributions.
6. Upon movement of the line a paired (x,Pr(x) values appear relative to the line position on the graph curve.
7. The PDF and CDF graphs are touch interactive graphs for computed (x/Pr(x) paired values.
8. The graphs have a touch feature whereby upon the touch a slidable vertical line appears.
9. The PDF and CDF values are displayed both in data table and graph forms.
10. The vertical y-axis plots a range of Pr(x) values.
11. This work on telephone traffic engineering has been expanded to consider waiting times in queueing systems in general.
또는 아래 가이드를 따라 PC에서 사용하십시오. :
PC 버전 선택:
소프트웨어 설치 요구 사항:
직접 다운로드 가능합니다. 아래 다운로드 :
설치 한 에뮬레이터 애플리케이션을 열고 검색 창을 찾으십시오. 일단 찾았 으면 Erlang Distribution 검색 막대에서 검색을 누릅니다. 클릭 Erlang Distribution응용 프로그램 아이콘. 의 창 Erlang Distribution Play 스토어 또는 앱 스토어의 스토어가 열리면 에뮬레이터 애플리케이션에 스토어가 표시됩니다. Install 버튼을 누르면 iPhone 또는 Android 기기 에서처럼 애플리케이션이 다운로드되기 시작합니다. 이제 우리는 모두 끝났습니다.
"모든 앱 "아이콘이 표시됩니다.
클릭하면 설치된 모든 응용 프로그램이 포함 된 페이지로 이동합니다.
당신은 아이콘을 클릭하십시오. 그것을 클릭하고 응용 프로그램 사용을 시작하십시오.
다운로드 Erlang Distribution Mac OS의 경우 (Apple)
다운로드 | 개발자 | 리뷰 | 평점 |
---|---|---|---|
Free Mac OS의 경우 | Donald Schaefer | 0 | 1 |
The Erlang distribution is a two parameter family of continuous probability distributions. The Erlang distribution can be used to model the time to complete n operations in series, where each operation requires an exponential period of time to complete. The Erlang distribution is utilized to examine the number of telephone calls which might be made at the same time to the operators of the switching stations. This work on telephone traffic engineering has been expanded to consider waiting times in queueing systems in general. The distribution is now used in the fields of stochastic processes and of biomathematics. The intervals between call arrivals is then an Exponential distribution, and the sum of k such distributions is an Erlang distribution (i.e. the time before the kth call arrives), so the Poisson, Exponential, Erlang and Gamma distributions are very closely related to one another. For the Erlang Distribution App three data parameters for the Real Rate of Change ( λ ), Scale ( μ ) and Shape ( k ) are input via sliders to compute PDF and CDF values and the Erlang mean and variance. The PDF and CDF values are displayed both in data table and graph forms. The PDF and CDF graphs are touch interactive graphs for computed (x/Pr(x) paired values. The graphs have a touch feature whereby upon the touch a slidable vertical line appears. Upon movement of the line a paired (x,Pr(x) values appear relative to the line position on the graph curve. The horizontal x-axis displays computed (x) values. The vertical y-axis plots a range of Pr(x) values.
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