• Title/Summary/Keyword: Distribution Journal

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Asymptotic Distribution of a Nonparametric Multivariate Test Statistic for Independence

  • Um, Yong-Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.12 no.1
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    • pp.135-142
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    • 2001
  • A multivariate statistic based on interdirection is proposed for detecting dependence among many vectors. The asymptotic distribution of the proposed statistic is derived under the null hypothesis of independence. Also we find the asymptotic distribution under the alternatives contiguous to the null hypothesis, which is needed for later use of computing relative efficiencies.

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Multiple Installment Load Distribution Algorithm for Data Sets (균일한 길이 데이터 집합의 분할분배방식)

  • Kim, Hee-Won;Kim, Hyoung Joong;Lee, Jung-Moon
    • Journal of Industrial Technology
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    • v.15
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    • pp.33-40
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    • 1995
  • This paper presents a new method for load distribution in a single-level tree network equipped with front-end processors. This method focuses on effective data distribution over a number of processors minimize job processing time. Optimal multiple installment load distribution algorithm is presented. Minimum number of processors that maximizes efficiency is decided theoretically.

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ON CHARACTERIZATIONS OF THE NORMAL DISTRIBUTION BY INDEPENDENCE PROPERTY

  • LEE, MIN-YOUNG
    • Journal of applied mathematics & informatics
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    • v.35 no.3_4
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    • pp.261-265
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    • 2017
  • Let X and Y be independent identically distributed nondegenerate random variables with common absolutely continuous probability distribution function F(x) and the corresponding probability density function f(x) and $E(X^2)$<${\infty}$. Put Z = max(X, Y) and W = min(X, Y). In this paper, it is proved that Z - W and Z + W or$(X-Y)^2$ and X + Y are independent if and only if X and Y have normal distribution.

THE BIVARIATE GAMMA EXPONENTIAL DISTRIBUTION WITH APPLICATION TO DROUGHT DATA

  • Nadarajah, Saralees
    • Journal of applied mathematics & informatics
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    • v.24 no.1_2
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    • pp.221-230
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    • 2007
  • The exponential and the gamma distributions have been the traditional models for drought duration and drought intensity data, respectively. However, it is often assumed that the drought duration and drought intensity are independent, which is not true in practice. In this paper, an application of the bivariate gamma exponential distribution is provided to drought data from Nebraska. The exact distributions of R=X+Y, P=XY and W=X/(X+Y) and the corresponding moment properties are derived when X and Y follow this bivariate distribution.

프랜차이저의 통제와 자율성 부여정도가 프랜차이지의 성과에 미치는 영향에 관한 연구

  • 황의록;김의근
    • Journal of Distribution Research
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    • v.4 no.1
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    • pp.161-183
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    • 1999
  • The purpose of this paper is to investigate the fastfood franchise distribution channel in the Pusan area. To achieve the research objectives, hypotheses were developed through a literature review and an experimental methods wee employed. The major findings of this study are as follow; (1) franchiser's control and autonomy positively affected the affective commitment of franchisee. (2) franchisee's affective commitment positively affected the performance. (3) franchiser's control positively affected the performance of franchisee. Therefore, the efficient franchise system and relationship are required in the Korean distribution channel.

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AN APPROXIMATE DISTRIBUTION OF THE SQUARED COEFFICIENT OF VARIATION UNDER GENERAL POPULATION

  • Lee Yong-Ghee
    • Journal of the Korean Statistical Society
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    • v.35 no.3
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    • pp.331-341
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    • 2006
  • An approximate distribution of the plug-in estimator of the squared coefficient of variation ($CV^2$) is derived by using Edgeworth expansions under general population models. Also bias of the estimator is investigated for several important distributions. Under the normal distribution, we proposed the new estimator for $CV^2$ based on median of the sampling distribution of plug-in estimator.

The General Mornent of Non-central Wishart Distribution

  • Chul Kang;Kim, Byung-Chun
    • Journal of the Korean Statistical Society
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    • v.25 no.3
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    • pp.393-406
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    • 1996
  • We obtain the general moment of non-central Wishart distribu-tion, using the J-th moment of a matrix quadratic form and the 2J-th moment of the matrix normal distribution. As an example, the second moment and kurtosis of non-central Wishart distribution are also investigated.

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Existence Condition for the Stationary Ergodic New Laplace Autoregressive Model of order p-NLAR(p)

  • Kim, Won-Kyung;Lynne Billard
    • Journal of the Korean Statistical Society
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    • v.26 no.4
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    • pp.521-530
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    • 1997
  • The new Laplace autoregressive model of order 2-NLAR92) studied by Dewald and Lewis (1985) is extended to the p-th order model-NLAR(p). A necessary and sufficient condition for the existence of an innovation sequence and a stationary ergodic NLAR(p) model is obtained. It is shown that the distribution of the innovation sequence is given by the probabilistic mixture of independent Laplace distributions and a degenrate distribution.

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Asymptotically Distribution-Free Procedure in a Two-Way Layout

  • Park, Young-Hun
    • Journal of the Korean Statistical Society
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    • v.24 no.2
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    • pp.375-387
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    • 1995
  • Main purpose of this article is to consider the asymptotic distribution of the rank transformed F statistic for interaction in a two-way layout. Some theorems and sufficient conditions are derived to have the rank transformed F statistic converged in distribution to a chi-squared random variable with (I-1)(J-1) degrees of freedom divided by (I-1)(J-1). These results will be useful for the other theoretical studies of the rank transform procedure in experimental designs.

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ASYMPTOTIC DISTRIBUTION OF DEA EFFICIENCY SCORES

  • S.O.
    • Journal of the Korean Statistical Society
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    • v.33 no.4
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    • pp.449-458
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    • 2004
  • Data envelopment analysis (DEA) estimators have been widely used in productivity analysis. The asymptotic distribution of DEA estimator derived by Kneip et al. (2003) is too complicated and abstract for analysts to use in practice, though it should be appreciated in its own right. This paper provides another way to express the limit distribution of the DEA estimator in a tractable way.