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Statistical Insights: Analyzing Shock Models, Reliability Operations and Testing Exponentiality for NBRUmgf Class of Life Distributions

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study focuses on an innovative life distribution category known as the 'New Better than Renewal used in Moment Generating Function' (NBRUmgf) class. It explores the relationships between this particular aging model and established aging categories, and its applicability within a shock model. Moreover, it investigates the consistency of this aging concept through specific reliability operations, which are pivotal tools in reliability engineering. The research involves computing Pitman's asymptotic efficiencies for this testing method and compares them with alternative approaches. Additionally, the study presents an extensive table of percentiles for the test statistic associated with this proposed technique. To underscore the significance of the study's findings, various real-world datasets are employed, demonstrating the efficacy of our test methodology across diverse types of actual data.
Rocznik
Strony
art. no. 184185
Opis fizyczny
Bibliogr. 29 poz., tab., wykr.
Twórcy
autor
  • Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
  • Department of Mathematics, College of Science for (girls), Al-AzharUniversity, Egypt
  • Department of Computing, University of Eastern Finland, Finland
  • Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
  • Department of Basic Sciences, Thebes Higher Institute for Engineering, Thebes Academy, Egypt
Bibliografia
  • 1. Klefsjo B. The HNBUE and HNWUE classes of life distribution, Naval Res. Logist.1982; 29: 331–344.https://doi.org/10.1002/nav.3800290213
  • 2. Ahmad I A. Moments inequalities of aging families with hypotheses testing applications. Journal of Statistical Planning and Inference.2001; 92: 121–132.https://doi.org/10.1016/S0378-3758(00)00139-7
  • 3. Deshpande J V, Kochar S C, Singh H. Aspects of positive aging. Journal of Applied Probability. 1986; 23(3): 748–758.https://doi.org/10.2307/3214012
  • 4. Al-Ruzaiza A S, Hendi M I and Abu-youssuf S E. A note on Moment Inequalities for Harmonic New Better than Used in Expectation Property with Hypotheses Testing Applications. J. Nonparametric Stat.,2003; 15: 267-272.https://doi.org/10.1080/1048525031000141221
  • 5. Barlow R E and Proschan F. Statistical theory of reliability and life testing. Probability models. To Begin With: Silver Spring, MD, USA, 1981.
  • 6. Ahmad I A. Some properties of classes of life distributions with unknown age. Statistics & Probability Letters. 2004; 9(3): 333-342.https://doi.org/10.1016/j.spl.2004.06.029
  • 7. Ahsanullah M, Alzaid A A, Kibria B M G. A Note on Mean Residual Life of the k out of n System. The Bulletin of the Malaysian Mathematical Sciences Society. 2014; 37(1): 83-91.http://math.usm.my/bulletin
  • 8. Mahmoud M AW, Moshref M E and Gadallah A M. On HNBUE class after specific age. J Egyptian Math Soc.,2013; 21: 82–87.http://dx.doi.org/10.1016/j.joems.2012.10.010
  • 9. Ghosh S, Mitra M. A new test for exponentiality against HNBUE alternatives. Commun. Stat. Theor Meth. 2020, 49(1):27–43.https://doi.org/10.1080/03610926.2018.1528370
  • 10. EL-Arishy S M, Diab L S, EL-Atfy E S. Characterizations and testing hypotheses for RNBUmgfclass of life distributions. Journal of Statistics: Advances in Theory and Applications. 2019; 21(1):71-89.http://dx.doi.org/10.18642/jsata_7100122044
  • 11. Gadallah A. M, Mohammed B I, Al-Babtain A A, et al. Modeling various survival distributions using a nonparametric hypothesis testing based on Laplace transform approach with some real applications. Comput Math Methods Med.2022; 5075716.https://doi.org/10.1155/2022/5075716
  • 12. Mahmoud M A W, Hassan E M A, Gadallah A M. On NRBUL Class of Life Distributions. Journal of the Egyptian Mathematical Society2018; 26(3):489 –496.DOI:10.21608/joems.2018.2649.1035
  • 13. Abu-Youssef S E, Ali N S A, Bakr M E. Non-parametric testing for unknown age (UBAL) class of life distribution. Journal of Testing and Evaluation, 2019; 48(6):1-12.DOI:10.1520/JTE20170726
  • 14. Navarro J, Pellerey F. Preservation of ILR and IFR aging classes in sums of dependent random variables. Appl. Stoch. Models Bus. Ind.,2022; 38: 240–261.https://doi.org/10.1002/asmb.2657
  • 15. Bakr M E. On basic life testing issues in medical research using non-parametric hypothesis testing. Qual. Reliab. Engng. Int. 2023; 1-12.https://doi.org/10.1002/qre.3450
  • 16. Hana Alqifari, Mohamed S Eliwa, Walid B H Etman, Mahmoud El-Morshedy, Laila A Al-Essa, Rashad M EL-Sagheer. Reliability Class Testing and Hypothesis Specification: NBRULC−t∘Characterizations with Applications for Medical and Engineering Data Modeling. Axioms, 2023; 12(5), 414.https://doi.org/10.3390/axioms12050414
  • 17. Mahmoud El-Morshedy, Afrah Al-Bossly, Rashad M EL-Sagheer, Bader Almohaimeed, Waleed B H Etman, Mohamed S Eliwa. A Moment Inequality for the NBRULC Class: Statistical Properties with Applications to Model Asymmetric Data. Symmetry. 2022, 14, 2353.https://doi.org/10.3390/sym14112353
  • 18. EL-Sagheer R M, Abu-Youssef S E, Sadek A, Omar K M, Etman W B H. Characterizations and testing NBRUL class of life distributions based on Laplace transform technique. Journal of Statistics Applications & Probability, 2022; 11(1):1-14https://doi.org/10.18576/jsap/110106
  • 19. Atallah, M A, Mahmoud M A W, Alzahrani B M. A new test for exponentiality versus NBUmghlife distribution based on Laplace transform. Quality and Reliability Engineering International. 2014; 30(8): 1353-1359.https://doi.org/10.1002/qre.1557
  • 20. Abu-Youssef, S.E.; El-Toony, A.A. A new class of life distribution based on Laplace transform and It’s applications.Inf. Sci. Lett.2022,11, 355–362. http://dx.doi.org/10.18576/isl/110206
  • 21. Mahmoud, M.A.W.; Diab, L.S.; Radi, D.M. Testing exponentiality against RNBUL class of life distribution based on goodness of fit.J. Stat. Appl. Probab.2019,8, 57–66. http://dx.doi.org/10.18576/jsap/080105
  • 22. Etman, W.B.H.; EL-Sagheer, R.M.; Abu-Youssef, S.E.; Sadek, A. On some characterizations to NBRULC class with hypotheses testing application.Appl. Math. Inf. Sci.2022,16, 139–148. http://dx.doi.org/10.18576/amis/160201
  • 23. Navarro, J. Preservation of DMRL and IMRL aging classes under the formation of order statistics and coherent systems. Statistics and Probability Letters.2018, 137(1), 264–268. https://doi.org/10.1016/j.spl.2018.02.005
  • 24. Ghosh, S.; Mitra, M. A weighted integral approach to testing against HNBUE alternative. Statistics and Probability Letters. 2017, 129, 58–64. https://doi.org/10.1016/j.spl.2017.05.003
  • 25. Belzunce F, Martínez-Riquelme C, Mercader JA, Ruiz JM. Comparisons of policies based on relevation and replacement by a new oneunit in reliability.Test. 2021;30:211-227. https://doi.org/10.1007/s11749-020-00710-6
  • 26. Hassan E M A, Said M M. A New Class of Life Distributions Based on Moment Inequalities. Asian journal of probability and statistics. 2021; 13(4): 47-57.DOI: 10.9734/AJPAS/2021/v13i430315
  • 27. Murthy DNP, Xie M,Jiang R. Weibull models, Wiley series in probability and statistics. John Wiley and Sons,New York;2004DOI:10.1002/047147326X
  • 28. Almetwally E M, Alharbi R, Alnagar D, Hafez E H. A new inverted topp-leone distribution: applications to the COVID-19 mortality rate in two different countries. Axioms. 2021; 10:25.https://doi.org/10.3390/axioms10010025
  • 29. Kocher S C. Testing exponentiality against monotone failure rate average. Comm. Statist. Theor. Meth. 1985;14:381-392. https://doi.org/10.1080/03610928508828919
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-16aeea8e-9caf-497b-b994-3fafe77d8f5e
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