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Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications

Cilt: 5 Sayı: 2 31 Aralık 2023
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Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications

Öz

The Nakagami distribution originated to model the fading of radio signals and is widely used in various disciplines. In this study, the maximum likelihood (ML) estimation method is used to estimate the shape and scale parameters of the distribution. However, there are no explicit solutions to the likelihood equations for this distribution. Therefore, three main algorithms, the particle swarm optimization algorithm (PSO), the genetic algorithm (GA), and the quasi-newton (QN) algorithm, have been used to solve these equations. Comparisons of the performances of these algorithms have been made with a comprehensive Monte-Carlo simulation study, taking into account the bias, mean squared error (MSE), and deficiency (DEF) criteria. The model has been applied to four real data sets in order to demonstrate its usefulness.

Anahtar Kelimeler

Maximum Likelihood, Nakagami Distribution, Particle swarm optimization, Monte-Carlo simulation

Kaynakça

  1. M. Nakagami, The m-distribution—A general formula of intensity distribution of rapid fading, Statistical Methods in Radio Wave Propagation, Pergamon. (1960), 3-36. doi: 10.1016/b978-0-08-009306-2.50005-4
  2. R.V. Ostrovityanov, F.A. Basalov, The Statistical Theory of Radar Extended Targets. Radio and Communication, Moscow, 1982.
  3. W.C. Lee, Mobile Cellular Telecommunications Systems. McGraw-Hill, Inc, New York, 1990.
  4. D. Drajic, Introduction to statistical theory of telecommunications. Academic Science, Belgrade, Serbia, 2006.
  5. S. Sarkar, N.K. Goel, B.S. Mathur, Adequacy of Nakagami-m distribution function to derive GIUH. Journal of Hydrologic Engineering, 14(10) (2009), 1070-1079. doi: 10.1061/(ASCE)HE.1943-5584.0000103
  6. S. Sarkar, N.K. Goel, B.S. Mathur, Performance investigation of Nakagami-m distribution to derive flood hydrograph by genetic algorithm optimization approach. Journal of Hydrologic Engineering. 15(8) (2010), 658-666. doi: 10.1061/(asce)he.1943-5584.
  7. A. Oyetunde, On the introduction of location parameter to Nakagami-m distribution. International Journal of Statistics and Applied Mathematics. 3(4) (2018), 147-154
  8. D. Ozonur, H.T.K. Akdur, H. Bayrak, Optimal asymptotic tests for Nakagami distribution. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 22 (2018), 487-492. doi:10.19113/sdufbed.32458
  9. P.M. Shankar, C.W. Piccoli, J.M. Reid, F. Forsberg, B.B. Goldberg, Application of the compound probability density function for characterization of breast masses in ultrasound B scans. Physics in Medicine & Biology,. 50(10) (2005), 2241. P.H. Tsui, C.C. Huang, S.H. Wang, Use of Nakagami distribution and logarithmic compression in ultrasonic tissue characterization. Journal of Medical and Biological Engineering. 26(2) (2006), 69-73.
  10. J. Cheng, N.C. Beaulieu, Generalized moment estimators for the Nakagami fading parameter. IEEE Communications Letters. 6(4) (2002), 144-146.

Kaynak Göster

APA
Faouri, A. O., & Kasap, P. (2023). Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications. Necmettin Erbakan University Journal of Science and Engineering, 5(2), 209-218. https://doi.org/10.47112/neufmbd.2023.19
AMA
1.Faouri AO, Kasap P. Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications. NEU Fen Muh Bil Der. 2023;5(2):209-218. doi:10.47112/neufmbd.2023.19
Chicago
Faouri, Adi Omaia, ve Pelin Kasap. 2023. “Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications”. Necmettin Erbakan University Journal of Science and Engineering 5 (2): 209-18. https://doi.org/10.47112/neufmbd.2023.19.
EndNote
Faouri AO, Kasap P (01 Aralık 2023) Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications. Necmettin Erbakan University Journal of Science and Engineering 5 2 209–218.
IEEE
[1]A. O. Faouri ve P. Kasap, “Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications”, NEU Fen Muh Bil Der, c. 5, sy 2, ss. 209–218, Ara. 2023, doi: 10.47112/neufmbd.2023.19.
ISNAD
Faouri, Adi Omaia - Kasap, Pelin. “Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications”. Necmettin Erbakan University Journal of Science and Engineering 5/2 (01 Aralık 2023): 209-218. https://doi.org/10.47112/neufmbd.2023.19.
JAMA
1.Faouri AO, Kasap P. Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications. NEU Fen Muh Bil Der. 2023;5:209–218.
MLA
Faouri, Adi Omaia, ve Pelin Kasap. “Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications”. Necmettin Erbakan University Journal of Science and Engineering, c. 5, sy 2, Aralık 2023, ss. 209-18, doi:10.47112/neufmbd.2023.19.
Vancouver
1.Adi Omaia Faouri, Pelin Kasap. Maximum Likelihood Estimation for the Nakagami Distribution Using Particle Swarm Optimization Algorithm with Applications. NEU Fen Muh Bil Der. 01 Aralık 2023;5(2):209-18. doi:10.47112/neufmbd.2023.19