• Title/Summary/Keyword: Distribution Department

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On Perturbed Symmetric Distributions Associated with the Truncated Bivariate Elliptical Models

  • Kim, Hea-Jung
    • Communications for Statistical Applications and Methods
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    • v.15 no.4
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    • pp.483-496
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    • 2008
  • This paper proposes a class of perturbed symmetric distributions associated with the bivariate elliptically symmetric(or simply bivariate elliptical) distributions. The class is obtained from the nontruncated marginals of the truncated bivariate elliptical distributions. This family of distributions strictly includes some univariate symmetric distributions, but with extra parameters to regulate the perturbation of the symmetry. The moment generating function of a random variable with the distribution is obtained and some properties of the distribution are also studied. These developments are followed by practical examples.

Reliability Equivalence Factors of n-components Series System with Non-constant Failure Rates

  • Mustafa, A.
    • International Journal of Reliability and Applications
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    • v.10 no.1
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    • pp.43-57
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    • 2009
  • In this article, we study the reliability equivalence factor of a series system. The failure rates of the system components are functions of time t. we study two cases of non-constat failure rates (i) weibull distribution (ii) linear increasing failure rate distribution. There are two methods are used to improve the given system. Two types of reliability equivalence factors are discussed. Numerical examples are presented to interpret how one can utilize the obtained results.

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Reliability P(Y

  • Woo, Jung-Soo
    • 한국데이터정보과학회:학술대회논문집
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    • 2006.11a
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    • pp.37-42
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    • 2006
  • We shall consider an inference of the reliability P(Y

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Tests for the Change-Point in the Zero-Inflated Poisson Distribution

  • Kim, Kyung-Moo
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.2
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    • pp.387-394
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    • 2004
  • Zero-Inflated Poisson distribution is Poisson distribution with excess zeros. Recently defects of product hardley happen in the manufacturing process. In this case it is desirable to apply to the Zero-Inflated Poisson distribution rather than Poisson. Our target of this paper is to study the tests for changes of rate of defects after the unknown change-point. We are going to compare the powers of the two proposed tests with likelihood tests by the simulations.

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CHARACTERISTIC MULTIFRACTAL IN A SELF-SIMILAR CANTOR SET

  • Baek, In Soo
    • Journal of the Chungcheong Mathematical Society
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    • v.21 no.2
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    • pp.157-163
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    • 2008
  • We study essentially disjoint one dimensionally indexed classes whose members are distribution sets of a self-similar Cantor set. The Hausdorff dimension of the union of distribution sets in a same class does not increases the Hausdorff dimension of the characteristic distribution set in the class. Further we study the Hausdorff dimension of some uncountable union of distribution sets.

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Estimation of the Parameters of the New Generalized Weibull Distribution

  • Zaindin, M.
    • International Journal of Reliability and Applications
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    • v.11 no.1
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    • pp.23-40
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    • 2010
  • Recently, Zaindin and Sarhan (2009) introduced a new distribution named new generalized Weibull distribution. This paper deals with the problem of estimating the parameters of this distribution in the case where the data is grouped and censored. We use both the maximum likelihood and Bayes techniques. The results obtained are illustrated on a set of real data.

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A SKEWED GENERALIZED t DISTRIBUTION

  • NADARAJAH SARALEES
    • Journal of the Korean Statistical Society
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    • v.34 no.4
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    • pp.311-329
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    • 2005
  • Skewed t distributions have attracted significant attention in the last few years. In this paper, a generalization - referred to as the skewed generalized t distribution - with the pdf f(x) = 2g(x)G(${\lambda}x$) is introduced, where g(${\cdot}$) and G (${\cdot}$) are taken, respectively, to be the pdf and the cdf of the generalized t distribution due to McDonald and Newey (1984, 1988). Several particular cases of this distribution are identified and various representations for its moments derived. An application is provided to rainfall data from Orlando, Florida.

Discrimination of Arcing Faults from Normal Distribution Disturbances by Wave form Distortion Analysis

  • Kim, C. J.
    • Journal of Electrical Engineering and information Science
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    • v.1 no.2
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    • pp.52-57
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    • 1996
  • Detection of arcing high impedance faults has been a perplexing in the power distribution protection. Transient analysis of distribution disturbances for fault discrimination from other normal events is important for a secure protection of the power system. A simple parameter of wave form distortion quantification is used to analyze the behaviors of arcing faults and normal distribution disturbances. Theoretical perspectives of the transients were studied and actual disturbances were examined. From this investigation, a discrimination guideline based on the revised crest factor is developed. The discrimination method has a high potential to enhance the reliability and security for the distribution system protection.

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Multinomial Probability Distribution and Quantum Deformed Algebras

  • Fridolin Melong
    • Kyungpook Mathematical Journal
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    • v.63 no.3
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    • pp.463-484
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    • 2023
  • An examination is conducted on the multinomial coefficients derived from generalized quantum deformed algebras, and on their recurrence relations. The 𝓡(p, q)-deformed multinomial probability distribution and the negative 𝓡(p, q)-deformed multinomial probability distribution are constructed, and the recurrence relations are determined. From our general result, we deduce particular cases that correspond to quantum algebras considered in the literature.

A Goodness-of-Fit Test for Multivariate Normal Distribution Using Modified Squared Distance

  • Yim, Mi-Hong;Park, Hyun-Jung;Kim, Joo-Han
    • Communications for Statistical Applications and Methods
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    • v.19 no.4
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    • pp.607-617
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    • 2012
  • The goodness-of-fit test for multivariate normal distribution is important because most multivariate statistical methods are based on the assumption of multivariate normality. We propose goodness-of-fit test statistics for multivariate normality based on the modified squared distance. The empirical percentage points of the null distribution of the proposed statistics are presented via numerical simulations. We compare performance of several test statistics through a Monte Carlo simulation.