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Phase-Type distributions: computational aspects andapplications in electronics

  • Ruiz Castro, Juan Eloy [1] Árbol académico ; Acal González, Christian J. [1] ; Aguilera del Pino, Ana María [1] Árbol académico
    1. [1] Universidad de Granada

      Universidad de Granada

      Granada, España

  • Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 37, Nº. 1, 2021, págs. 3-18
  • Idioma: inglés
  • Enlaces
  • Resumen
    • Reliability is an area of statistics that analyzes the behaviour of sys-tems subject to failures where probability plays a fundamental role inmodeling, solving and optimization problems. It is usual to develop me-thodologies that allow a detailed study through classic distributions. Animportant aspect is the estimation of the parameters. A class of non-negative distributions, called phase-type distributions, makes it possibleto model complex problems with well-structured results, thanks to itsmatrix-algebraic form. The computational aspects of the estimation inthis field, through statistical programmes or applications such as R, Mat-lab or EMpht, are revised and applied to a real data set from RRAMmemories in order to prove that this approach is better than the classicstatistical analysis employed in this area.

  • Referencias bibliográficas
    • Acal C., Ruiz-Castro J.E. y Aguilera A.M. (2019a). Distribuciones tipo faseen un estudio de fiabilidad.TEMat,3, 63-74.
    • Acal C., Ruiz-Castro J.E., Aguilera A.M., et al. (2019b). Phase-type dis-tributions for studying variability in resistive memories.J. Comput....
    • Asmussen S., Nerman O. y Olsson M. (1996). Fitting phase-type distribu-tions via the EM algorithm.Scand. J. Stat.,23(4), 419-441.
    • Asmussen S. (2000).Ruin Probabilities, World Scientific, Hong Kong (Chi-nese).
    • Aslett L. (2012). Package “PhaseType: Inference for Phase-type Distribu-tions”. En:https://cran.r-project.org/web/packages/PhaseType/
    • Buchholz P., Kriege J. y Felko I. (2014).Input modeling with phase-typedistributions and Markov models, Theory and Applications. Springer...
    • BuTools Team. (2015). Tools for Phase-Type Distributions. En:http://webspn.hit.bme.hu/˜telek/tools/butools/doc/ph.html
    • Epstein B. y Sobel M. (1953). Life Testing.J. Am. Stat. Assoc.,48(263),486-502.
    • Goulet V., Auclair S., Dutang C., et al. (2019). Package ’actuar: Ac-tuarial Functions and Heavy Tailed Distributions’. En:https://cran.r-project.org/web/packages/actuar/
    • He Q.M. (2014).Fundamentals of Matrix-Analytic Methods, Springer Scien-ce+Business Media, New York (EEUU).
    • Long S., Cagli C., Ielmini D., et al. (2012). Analysis and modelling ofresistive switching statistics.J. Appl. Phys.,111(7), 074508.
    • Neuts M. F. (1975).Probability Distributions of Phase Type, Liber Amico-rum Professor Emeritus Dr. H. Florin.
    • Neuts M. F. (1994).Matrix-Geometric Solutions in Stochastic Models: anAlgorithmic Approach, Courier Corporation.
    • Okamura H. (2015). Package “mapfit: A Tool for PH/MAP Parameter Es-timation”. En:https://cran.r-project.org/web/packages/mapfit/
    • Pérez E., Maldonado D., Acal C., et al. (2019). Analysis of the statisticsof device-to-device and cycle-to-cycle variability in TiN/Ti/Al:HfO2/TiNRRAMs.Microelectron....
    • The PSF (2019).Python Software, The Python Software Foundation (PSF).URLhttps://www.Python.org/.
    • R Core Team (2019).R: A language and environment for statistical com-puting, R Foundation for Statistical Computing. URLhttps://www.R-project.org/.
    • The Math Works (2020).MATLAB, Natick, MA: The Math Works, Inc.URLwww.mathworks.com

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