The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Ugo Vaccaro - One of the best experts on this subject based on the ideXlab platform.

  • an information theoretic approach to probability mass function truncation
    International Symposium on Information Theory, 2019
    Co-Authors: Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro
    Abstract:

    Given a Discrete Random Variable X that takes values in a finite set χ according to a probability mass function (pmf) P, a truncated pmf Q of P is a conditional pmf that results from restricting the domain of X to some subset of χ. Truncated pmf arise in several problems of statistics and probability. In this paper, we propose and analyze a few criteria to truncate pmf’s so that the truncated one is as much close as possible to the original pmf, under different information theoretic measures of distance.

  • ISIT - An Information Theoretic Approach to Probability Mass Function Truncation
    2019 IEEE International Symposium on Information Theory (ISIT), 2019
    Co-Authors: Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro
    Abstract:

    Given a Discrete Random Variable X that takes values in a finite set χ according to a probability mass function (pmf) P, a truncated pmf Q of P is a conditional pmf that results from restricting the domain of X to some subset of χ. Truncated pmf arise in several problems of statistics and probability. In this paper, we propose and analyze a few criteria to truncate pmf’s so that the truncated one is as much close as possible to the original pmf, under different information theoretic measures of distance.

Ferdinando Cicalese - One of the best experts on this subject based on the ideXlab platform.

  • an information theoretic approach to probability mass function truncation
    International Symposium on Information Theory, 2019
    Co-Authors: Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro
    Abstract:

    Given a Discrete Random Variable X that takes values in a finite set χ according to a probability mass function (pmf) P, a truncated pmf Q of P is a conditional pmf that results from restricting the domain of X to some subset of χ. Truncated pmf arise in several problems of statistics and probability. In this paper, we propose and analyze a few criteria to truncate pmf’s so that the truncated one is as much close as possible to the original pmf, under different information theoretic measures of distance.

  • ISIT - An Information Theoretic Approach to Probability Mass Function Truncation
    2019 IEEE International Symposium on Information Theory (ISIT), 2019
    Co-Authors: Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro
    Abstract:

    Given a Discrete Random Variable X that takes values in a finite set χ according to a probability mass function (pmf) P, a truncated pmf Q of P is a conditional pmf that results from restricting the domain of X to some subset of χ. Truncated pmf arise in several problems of statistics and probability. In this paper, we propose and analyze a few criteria to truncate pmf’s so that the truncated one is as much close as possible to the original pmf, under different information theoretic measures of distance.

G Mohtashami R Borzadaran - One of the best experts on this subject based on the ideXlab platform.

  • reversed variance residual life function and its properties in Discrete lifetime models
    International Journal of Quality & Reliability Management, 2013
    Co-Authors: M Khorashadizadeh, A Rezaei H Roknabadi, G Mohtashami R Borzadaran
    Abstract:

    Purpose – In reliability studies, interests in Discrete failure data came relatively late in comparison to its continuous analogue. Also, Discrete failure data arise in several common situations. So, in this paper the authors try to study some reliability concepts such as reversed variance and reversed mean residual life functions based on Discrete lifetime Random Variable.Design/methodology/approach – Supposed T be a non‐negative Discrete Random Variable, then based on reversed residual Random Variable Tk*=(k−T|T≤k), some useful and applicable relations and bounds are achieved.Findings – In this paper, the authors study the reversed variance residual life in Discrete lifetime distributions, the results of which are not similar to the continuous case. Its relationship with reversed mean residual life and reversed residual coefficient of variation are obtained. Also, its monotonicity and the associated ageing classes of distributions are discussed. Some characterization results of the class of increasing r...

  • variance residual life function in Discrete Random ageing
    Metron-International Journal of Statistics, 2010
    Co-Authors: M Khorashadizadeh, A Rezaei H Roknabadi, G Mohtashami R Borzadaran
    Abstract:

    The Random Variable X t = X − t¦X ≥ t, which is called the residual life Random Variable, has gathered the attention of most researchers in reliability. The mean and the variance of this Variable in continuous distribution have been studied by several authors. But, in Discrete case, only in recent years, some studies have been done for the mean of this Variable. In this paper, we define and study the properties of variance of T k = T − k¦T ≥ k where T is a Discrete Random Variable. Besides similar results for Discrete and continuous lifetime distributions, relationships with its mean, monotonicity and the associated ageing classes of distributions are obtained for Discrete cases. Furthermore, some characterization results about the class of increasing (decreasing) variance residual life distributions based on mean residual life and residual coefficient of variation, are presented and the lower and upper bound for them are achieved.

Hong-zhong Huang - One of the best experts on this subject based on the ideXlab platform.

  • Weibull Distributed Stress-Dependent Strength Analysis of Aeroengine Alloy Using Lagrange Factor Polynomial
    Volume 6: 15th Design for Manufacturing and the Lifecycle Conference; 7th Symposium on International Design and Design Education, 2010
    Co-Authors: Chun Nam Wong, Hong-zhong Huang, Jingqi Xiong
    Abstract:

    In this paper, the unilateral dependency of strength on stress is taken into account. And the stress-dependent strength is represented by a Discrete Random Variable that has different conditional probability mass functions under different stress amplitudes. Then the Lagrange factor polynomial technique is developed to generate the stress-strength interference model with stress-dependent strength. This model assumes that the strength probability mass function is Weibull distributed, while the stress probability mass function is Normal distributed. Accuracy of this method is investigated by an aeroengine bearing cage alloy. Structural reliabilities are computed as 0.796 to 0.986 under several operation modes, which are analyzed by varying the Weibull shape parameter from 1 to 6. Then probability mean function estimated by Lagrange factor polynomial has relatively low errors over most span of the stress dependent strength distribution. With this approach stress-dependent strength reliability of aeroengine structural systems can be established conveniently. Meanwhile the application range of the classical stress-strength interference model can be extended.Copyright © 2010 by ASME

  • a Discrete stress strength interference model with stress dependent strength
    IEEE Transactions on Reliability, 2009
    Co-Authors: Hong-zhong Huang
    Abstract:

    In structural reliability engineering, one often encounters situations where the strength of a structure is influenced by the stress, but the stress is irrelevant to the strength. This phenomenon can be called a unilateral dependency of strength on stress. To evaluate structural reliability in such cases, the stress on a structure is proposed to be a Discrete Random Variable, and the stress dependent strength is represented by a Discrete Random Variable that has different conditional probability mass functions under different stress amplitudes. Then a Discrete stress-strength interference model with stress dependent strength is presented based on the universal generating function technique. Finally, the effectiveness of this model is demonstrated by an illustrative example.

Luisa Gargano - One of the best experts on this subject based on the ideXlab platform.

  • an information theoretic approach to probability mass function truncation
    International Symposium on Information Theory, 2019
    Co-Authors: Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro
    Abstract:

    Given a Discrete Random Variable X that takes values in a finite set χ according to a probability mass function (pmf) P, a truncated pmf Q of P is a conditional pmf that results from restricting the domain of X to some subset of χ. Truncated pmf arise in several problems of statistics and probability. In this paper, we propose and analyze a few criteria to truncate pmf’s so that the truncated one is as much close as possible to the original pmf, under different information theoretic measures of distance.

  • ISIT - An Information Theoretic Approach to Probability Mass Function Truncation
    2019 IEEE International Symposium on Information Theory (ISIT), 2019
    Co-Authors: Ferdinando Cicalese, Luisa Gargano, Ugo Vaccaro
    Abstract:

    Given a Discrete Random Variable X that takes values in a finite set χ according to a probability mass function (pmf) P, a truncated pmf Q of P is a conditional pmf that results from restricting the domain of X to some subset of χ. Truncated pmf arise in several problems of statistics and probability. In this paper, we propose and analyze a few criteria to truncate pmf’s so that the truncated one is as much close as possible to the original pmf, under different information theoretic measures of distance.