Pseudorandom number generator based on array probability density function method

• Autorzy: Skórkowski A.
• Języki publikacji: EN

Abstrakty

EN

: The idea of the generation of pseudorandom numbers, forming a population of any demanded distribution of given range, there is presented in the paper. The idea is based on use the pseudorandom uniform number generator and probability density function array or histogram array of the distribution under interest. The generation examples of pseudorandom numbers forming a specified population are shown. First exemplary population is described by triangle, the second by two triangles and third isosceles trapezoid.

Słowa kluczowe

EN

pseudorandom number generator; pseudorandom number; probability density function array; histogram array

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2016
• Tom: Vol. 62, No. 11
• Strony: 371--374
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Skórkowski A.

• Silesian Uniwersity of Technology, Institute of Measurement Science, Electronics and Control, 10 Akademicka St., 44-100 Gliwice

Bibliografia

• [1] Gentle J. E.: Random Number Generation and Monte Carlo Methods, Springer, 2003.
• [2] Schuster H. G.: Just W.: Deterministic Chaos, Wiley-VCH, 2005.
• [3] Guide to the Expression of Uncertainty in Measurement. Supplement 1, Numerical Methods for the Propagation of Distributions, JCGM, Draft 2006-04-21 (2006).
• [4] Dorozhovets M., Warsza Z.: Influence of the inadequate choice of distribution parameters on the uncertainty evaluated by method type A. PAK (2007), nr. 9bis, 25-28 (full text in Polish, abstract in English).
• [5] Kubisa S.: Intuition and Monte Carlo simulation - a basis for measurement inaccuracy analysis. PAK (2007), nr. 09, 03-08 (full text in Polish, abstract in English).
• [6] Viega J.: Practical Random Number Generation in Software, in Proc. 19th Annual Computer Security Applications Conference, Dec. 2003.
• [7] Raghu N. Kacker, James F. Lawrence: Trapezoidal and triangular distributions for Type B evaluation of standard uncertainty. Metrologia, 44 (2007), pp. 117–127.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).