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    Wyświetlanie 1-4 z 4
    Tytuł:
    Some characterizations of a two-parameter Xgamma distribution
    Autorzy:
    Shakil, M.
    Ahsanullah, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1031018.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Characterizations
    Order Statistics
    Record Values
    Truncated Moment
    Xgamma distribution
    Opis:
    The objective of this paper is establish some new characterization results of a two-parameter Xgamma distribution. We have first established our proposed characterization results by taking a relation between left truncated moment and failure rate function. Then, we have characterized the two-parameter Xgamma distribution by taking a relation between right truncated moment and reversed failure rate function. Finally, we have characterized it by order statistics and record values.
    Źródło:
    World Scientific News; 2020, 149; 1-22
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the characterisation of X-Lindley distribution by truncated moments. Properties and application
    Autorzy:
    Metiri, Farouk
    Zeghdoudi, Halim
    Ezzebsa, Abdelali
    Powiązania:
    https://bibliotekanauki.pl/articles/2175833.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    Lindley distribution
    X-Lindley distribution
    truncated moment
    failure rate function
    reversed failure rate function
    characterisation of distributions
    Opis:
    Several papers introduce the new distributions and their applications, including, among others, those of Ducey and Gove [7], Grine and Zeghdoudi [8], Chouia et al. [5], Seghier et al. [11], Beghriche and Zeghdoudi [4], where characterisation of a probability distribution plays an important role in statistical science. Several researchers studied the characterisations of probability distributions. For example, Su and Huang [12] study the characterisations of distributions based on expectations. In addition, Nanda [10] studies the characterisations by average residual life and the failure rates of functions of absolutely continuous random variables. Ahmadi et al. [1] consider the estimation based on the left-truncated and right randomly censored data arising from a general family of distributions. On the other hand, Ahsanullah et al. [2, 3] present two characterisations of Lindley distribution, standard normal distribution, t-Student’s, exponentiated exponential, power function, Pareto, and Weibull distributions based on the relation of failure rate, reverse failure rate functions with left and right truncated moments. Recently, Haseeb and Yahia [9] studied truncated moments for two general classes of continuous distributions. In this paper, two characterisations of the X-Lindley distribution, introduced by Chouia and Zeghdoudi [5] have been studied. They are based on the failure, relation of the inverse failure rate functions with the left and right truncated moments, respectively. Section 2 gives some properties of X-Lindley distribution. Section 3 discusses the characterisation of general distribution by left truncated and failure rate function and then right truncated and reverse failure rate function. Section 4 studies the characterisation of X-Lindley distribution by using the relation between left/right truncated moment and failure/reverse failure rate function. Finally, an illustrative example of X-Lindley distribution with other one-parameter distributions is given to show the superiority and flexibility of this model.
    Źródło:
    Operations Research and Decisions; 2022, 32, 1; 99--109
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modeling of joint signal detection and parameter estimation on the background of non-Gaussian noise
    Autorzy:
    Palahin, V.
    Filipov, V.
    Leleko, S.
    Ivchenko, O.
    Palahina, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/122532.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
    Tematy:
    non-Gaussian noise
    moment and cumulant representation of random variables
    truncated stochastic polynom
    polynomial solving rules
    Opis:
    The paper presents the results and describes the process of modeling of a system of joint signal detection and parameter estimation on the background of a non-Gaussian noise based on moment and cumulant description of random variables, polynomials of Kunchenko and moment quality criterion type of Neyman-Pearson.
    Źródło:
    Journal of Applied Mathematics and Computational Mechanics; 2015, 14, 3; 87-94
    2299-9965
    Pojawia się w:
    Journal of Applied Mathematics and Computational Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Characterisation of some generalised continuous distributions by doubly truncated moments
    Autorzy:
    Athar, Haseeb
    Ahsanullah, Mohammad
    Ali, Mohd. Almech
    Powiązania:
    https://bibliotekanauki.pl/articles/2204096.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    truncated moment
    characterisation
    probability distribution
    Weibull
    power function
    Frechet
    Pareto
    Lindley
    Opis:
    The characterisation of probability distribution plays an important role in statistical studies. There are various methods of characterisation available in the literature. The characterisation using truncated moments limits the observations; hence, researchers may save time and cost. In this paper, the characterisation of three general forms of continuous distributions based on doubly truncated moments has been studied. The results are given simply and explicitly. Further, the results have been applied to some well-known continuous distributions.
    Źródło:
    Operations Research and Decisions; 2023, 33, 1; 1--19
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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