Natural Test for Random Numbers Generator Based on Exponential Distribution

被引:5
|
作者
Tanackov, Ilija [1 ]
Sinani, Feta [2 ]
Stankovic, Miomir [3 ]
Bogdanovic, Vuk [1 ]
Stevic, Zeljko [4 ]
Vidic, Mladen [4 ]
Mihaljev-Martinov, Jelena [5 ]
机构
[1] Univ Novi Sad, Fac Tech Sci, Trg Dositeja Obradovica 6, Novi Sad 21000, Serbia
[2] State Univ Tetova, Fac Appl Sci, Ilindenska 1000, Tetovo 1000, Macedonia
[3] Serbian Acad Arts & Sci, Math Inst, Kneza Mihaila 36, Belgrade 11001, Serbia
[4] Univ East Sarajevo, Fac Transport & Traff Engn Doboj, Vojvode Misica 52, Doboj 74000, Bosnia & Herceg
[5] Univ Novi Sad, Fac Med, Hajduk Veljkova 3, Novi Sad 21000, Serbia
关键词
uniform distribution; memoryless; entropy; pseudo-random number generator;
D O I
10.3390/math7100920
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We will prove that when uniformly distributed random numbers are sorted by value, their successive differences are a exponentially distributed random variable Ex(lambda). For a set of n random numbers, the parameters of mathematical expectation and standard deviation is lambda = n(-1). The theorem was verified on four series of 200 sets of 101 random numbers each. The first series was obtained on the basis of decimals of the constant e = 2.718281 ..., the second on the decimals of the constant pi = 3.141592 ..., the third on a Pseudo Random Number generated from Excel function RAND, and the fourth series of True Random Number generated from atmospheric noise. The obtained results confirm the application of the derived theorem in practice.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Data Encryption Based on Exponential Numbers
    Chang, Ho-Hsuan
    8TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCE, 2019, 1391
  • [32] Hypothesis Test of Parameter in Exponential Distribution
    Ruan, Shuping
    Jiang, Tao
    Cheng Wenfang
    2012 11TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES), 2012, : 470 - 472
  • [33] TEST OF INDEPENDENCE IN A BIVARIATE EXPONENTIAL DISTRIBUTION
    BHATTACHARYYA, GK
    JOHNSON, RA
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1973, 68 (343) : 704 - 706
  • [34] RANDOM SAMPLING FROM THE EXPONENTIAL POWER DISTRIBUTION
    TADIKAMALLA, PR
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1980, 75 (371) : 683 - 686
  • [35] On a test of independence in a multivariate exponential distribution
    Samanta, M
    Thavaneswaran, A
    QUALITY IMPROVEMENT THROUGH STATISTICAL METHODS, 1998, : 381 - 389
  • [36] Random growth networks with exponential degree distribution
    Ma, Fei
    Luo, Xudong
    Wang, Ping
    Zhu, Renbo
    CHAOS, 2020, 30 (11)
  • [37] Bayesian sampling plans for exponential distribution based on uniform random censored data
    Huang, WT
    Lin, YP
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2004, 44 (04) : 669 - 691
  • [38] CREATING OF GAMES IN THE INFORMATICS CLASSES BY USING A GENERATOR OF RANDOM NUMBERS
    Nikolova, Emilia
    Tuparova, Daniela
    MATHEMATICS AND INFORMATICS, 2018, 61 (03): : 232 - 258
  • [39] FPGA Implementation of a Chaotic Pseudo-random Numbers Generator
    Abderrahim N.W.
    Benmansour F.Z.
    Seddiki O.
    SN Computer Science, 4 (4)
  • [40] RISC-V RANDOM TEST GENERATOR
    Dai Duong Tran
    Thi Giang Truong
    Truong Giang Do
    The Duc Do
    2021 15TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND APPLICATIONS (ACOMP 2021), 2021, : 150 - 155