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Relations for moments of generalised order statistics based on Weibull–G family of distributions

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Weibull distribution is one of the important distributions used in reliability theory and life-testing experiments. The generalised versions of the Weibull distribution give a more flexible model for these studies. The Weibull–G family of distributions is one of the extended versions extensively studied. In this paper, we have studied moments properties of generalised order statistics for the said distribution in terms of a single moment, product moments and characterisation. Several examples and special cases are presented. The results can be applied to all distributions belonging to this family.
Rocznik
Strony
17--31
Opis fizyczny
Bibliogr. 28 poz.
Twórcy
autor
  • Department of Statistics and Operations Research, Faculty of Science, Aligarh Muslim University, India
  • Department of Mathematics, College of Science, Taibah University, Al Madinah, Kingdom of Saudi Arabia
  • Department of Mathematics, College of Science, Taibah University, Al Madinah, Kingdom of Saudi Arabia
  • Mathematics Department, Faculty of Science, Suez University, Suez, Egypt
Bibliografia
  • [1] Abd Elgawad, M. A., Barakat, H. M., and Alawady, M. A. Concomitants of generalized order statistics from bivariate Cambanis family: Some information measures. Bulletin of the Iranian Mathematical Society volume 48, 2 (2021), 563–585.
  • [2] Ahmad, A. A., and Fawzy, M. A. Recurrence relations for single moments of generalized order statistics from doubly truncated distributions. Journal of Statistical Planning and Inference 117, 2 (2003), 241–249.
  • [3] AL-Hussaini, E. K., Ahmad, A. A., and AL-Kashif, M. A. Recurrence relations for moment and conditional moment generating functions of generalized order statistics. Metrika 61, 2 (2005), 199–220.
  • [4] Alawady, M. A., Barakat, H. M., and Abd Elgawad, M. A. Concomitants of generalized order statistics from bivariate Cambanis family of distributions under a general setting. Bulletin of the Malaysian Mathematical Sciences Society 44, 5 (2021),3129–3159.
  • [5] Alawady, M. A., Barakat, H. M., Xiong, S., and Abd Elgawad, M. A. Concomitants of generalized order statistics from iterated Farlie-Gumbel-Morgenstern type bivariate distribution. Communications in Stat. - Theory and Methods (2020), 1 –17.
  • [6] Anwar, Z., Athar, H., and Khan, R. U. Expectation identities based on recurrence relations of functions of generalized order statistics. Journal of Statistical Research 41, 2 (2007), 93–102.
  • [7] Athar, H., and Islam, H. M. Recurrence relations between single and product moments of generalized order statistics from a general class of distributions. Metron 62, 3 (2004), 327–337.
  • [8] Athar, H., and Nayabuddin. Expectation identities of generalized order statistics from Marshall-Olkin extended uniform distribution and its characterization. Journal of Statistical Theory and Applications 14, 2 (2015), 184–191.
  • [9] Athar, H., Khwaja, S. K., and Nayabuddin. Expectation identities of Pareto distribution based on generalized order statistics and its characterization. American Journal of Applied Mathematics and Mathematical Sciences 1, 1 (2012), 23–29.
  • [10] Athar, H., Nayabuddin, and Zarrin, S. Generalized order statistics from Marshall–Olkin extended exponential distribution. Journal of Statistical Theory and Applications 18, 2 (2019), 129–135.
  • [11] Athar, H., Noor, Z., Zarrin, S., and Al Mutairi, H. N. S. Expectation properties of generalized order statistics from Poisson Lomax distribution. Statistics, Optimization & Information Computing 9, 3 (2021), 735–747.
  • [12] Athar, H., Zarrin, S., and Noor, Z. Moment properties of generalized order statistics from Weibull-geometric distribution. Applied Mathematics E-Notes 19 (2019), 199–209.
  • [13] Bourguignon, M., Silva, R. B., and Cordeiro, G. C. The Weibull-G family of probability distributions. Journal of Data Science 12 (2014), 53–68.
  • [14] Cramer, E., and Kamps, U. Relations for expectations of functions of generalized order statistics. Journal of Statistical Planning and Inference 89, 1-2 (2000), 79–89.
  • [15] Hwang, J. S., and Lin, G. D. Extensions of Müntz-Szasz theorems and application. Analysis 4 (1984), 143–160.
  • [16] Jamal, F., and Chesneau, C. The moment properties of order, reversed the order and upper record statistics for the power Ailamujia distribution. WSEAS Transactions on Mathematics 20 (2021), 607–614.
  • [17] Kamps, U. A Concept of Generalized Order Statistics. Journal of Statistical Planning and Inference 48, 1 (1995), 1–23.
  • [18] Kamps, U., and Cramer, E. On distributions of generalized order statistics. Statistics 35, 3 (2001), 269–280.
  • [19] Keseling, C. Conditional distributions of generalized order statistics and some characterizations. Metrika 49, 1 (1999), 27–40.
  • [20] Khan, R. U., and Khan, M. A. Moment properties of generalized order statistics from exponential-Weibull lifetime distribution. Journal of Advanced Statistics 1, 3 (2016), 146–155.
  • [21] Khan, R. U., Kumar, D., and Athar, H. Moments of generalized order statistics from Erlang-truncated exponential distribution and its characterization. International Journal of Statistics and Systems 5, 4 (2010), 455–464.
  • [22] Khan, R., and Zia, B. Generalized order statistics of doubly truncated linear exponential distribution and characterization. Journal of Applied Probability and Statistics 9, 1 (2014), 53–65.
  • [23] Khwaja, S. K., Athar, H., and Nayabuddin. Lower generalized order statistics from extended type-I generalized logistic distribution. Journal of Applied Statistical Science 20, 1 (2012), 21–28.
  • [24] Nayabuddin, and Athar, H. Recurrence relations for single and product moments of generalized order statistics from MarshallOlkin extended Pareto distribution. Communications in Statistics - Theory and Methods 46, 16 (2017), 7820–7826.
  • [25] Pawlas, P., and Szynal, D. Recurrence relations for single and product moments of generalized order statistics from Pareto, generalized Pareto and Burr distributions. Communications in Statistics - Theory and Methods 30, 4 (2001), 739–746.
  • [26] Saran, J., and Pandey, A. Recurrence relations for marginal and joint moment generating functions of generalized order statistics from power function distribution. Metron 61 (2003), 27–33.
  • [27] Singh, B., Khan, R. U., and Khan, M. A. R. Generalized order statistics from Kumaraswamy-Burr III distribution and related inference. Journal of Statistics: Advances in Theory and Applications 19, 1 (2018), 1–16.
  • [28] Zarrin, S., Athar, H., and Abdel-Aty, Y. Relations for moments of generalized order statistics from power Lomax distribution. Journal of Statistics Applications & Probability Letters 6, 1 (2019), 29–36.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e595c27f-ae30-4bc0-85e0-d7113f90f565
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