• Title/Summary/Keyword: Distributions

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Reliability and ratio in a right truncated Rayleigh distribution

  • Lee, Jang-Choon;Lee, Chang-Soo
    • Journal of the Korean Data and Information Science Society
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    • 제21권1호
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    • pp.195-200
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    • 2010
  • In this paper, we consider estimators and a condence interval for a reliability in two independent right truncated Rayleigh distributions and consider the density of a ratio in two independent right truncated Rayleigh distributions. And we obtain the density of an estimator for a changing point in the density of a ratio in two independent right truncated Rayleigh distributions.

Failure rate of a bivariate exponential distribution

  • Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
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    • 제21권1호
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    • pp.173-177
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    • 2010
  • It is well known that if the parent distribution has a nonnegative support and has increasing failure rate, then all the order statistics have increasing failure rate (IFR). The result is not necessarily true in the case of bivariate distributions with dependent structures. In this paper we consider a symmetric bivariate exponential distribution and show that, two marginal distributions are IFR and the distributions of the minimum and maximum are constant failure rate and IFR, respectively.

HYERS-ULAM-RASSIAS STABILITY OF QUADRATIC FUNCTIONAL EQUATION IN THE SPACE OF SCHWARTZ TEMPERED DISTRIBUTIONS

  • CHUNG JAEYOUNG
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제12권2호
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    • pp.133-142
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    • 2005
  • Generalizing the Cauchy-Rassias inequality in [Th. M. Rassias: On the stability of the linear mapping in Banach spaces. Proc. Amer. Math. Soc. 72 (1978), no. 2, 297-300.] we consider a stability problem of quadratic functional equation in the spaces of generalized functions such as the Schwartz tempered distributions and Sato hyperfunctions.

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A Study of Control Chart for Skewness

  • Lee, Jung Jin
    • 품질경영학회지
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    • 제23권4호
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    • pp.1-12
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    • 1995
  • Sample skewness has not received much attention from researchers to design a control chart. In this paper, control charts based on two skewness measures are studied to control a manufacturing process. One skewness measure is the third central moment about mean, the other is the third L-moment which is a linear combination of order statistics. Since the exact sampling distributions of two skewness measures are unknown, empirical sampling distributions are studied using simulation. The sampling distributions are used to design control charts for skewness and performance of two skewness measures is compared.

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A Note on a Family of Lattice Distributions

  • Stefen Hui;Park, C. J.
    • Journal of the Korean Statistical Society
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    • 제29권3호
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    • pp.315-318
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    • 2000
  • In this note we use the Poisson Summation Formula to generalize a result of Harris and Park (1994) on lattice distributions induced by uniform (0,1) random variables to those generated by random variables with step functions as their probability functions.

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Rate of Convergence of Empirical Distributions and Quantiles in Linear Processes with Applications to Trimmed Mean

  • Lee, Sangyeol
    • Journal of the Korean Statistical Society
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    • 제28권4호
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    • pp.435-441
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    • 1999
  • A 'convergence in probability' rate of the empirical distributions and quantiles of linear processes is obtained. As an application of the limit theorems, a trimmed mean for the location of the linear process is considered. It is shown that the trimmed mean is asymptotically normal. A consistent estimator for the asymptotic variance of the trimmed mean is provided.

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순별증발량 자료의 적정 확률분포형 선정 (Selection of Appropriate Probability Distribution Types for Ten Days Evaporation Data)

  • 김선주;박재흥;강상진
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 1998년도 학술발표회 발표논문집
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    • pp.338-343
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    • 1998
  • This study is to select appropriate probability distributions for ten days evaporation data for the purpose of representing statistical characteristics of real evaporation data in Korea. Nine probability distribution functions were assumed to be underlying distributions for ten days evaporation data of 20 stations with the duration of 20 years. The parameter of each probability distribution function were estimated by the maximum likelihood approach, and appropriate probability distributions were selected from the goodness of fit test. Log Pearson type III model was selected as an appropriate probability distribution for ten days evaporation data in Korea.

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일반적인 큐잉네트워크에서의 체류시간분포의 근사화 (An approximation method for sojourn time distributions in general queueing netowkrs)

  • 윤복식
    • 한국경영과학회지
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    • 제19권3호
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    • pp.93-109
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    • 1994
  • Even though sojourn time distributions are essential information in analyzing queueing networks, there are few methods to compute them accurately in non-product form queueing networks. In this study, we model the location process of a typical customer as a GMPH semi-Markov chain and develop computationally useful formula for the transition function and the first-passage time distribution in the GMPH semi-Markov chain. We use the formula to develop an effcient method for approximating sojourn time distributions in the non-product form queueing networks under quite general situation. We demonstrate its validity through numerical examples.

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Asymptotic Distributions of Maximum Queue Lengths for M/G/1 and GI/M/i Systems

  • Park, You-Sung
    • Journal of the Korean Statistical Society
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    • 제24권1호
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    • pp.19-29
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    • 1995
  • In this paper, we investigate the asymptotic distributions of maximum queue length for M/G/1 and GI/M/1 systems which are positive recurrent. It is well knwon that for any positive recurrent queueing systems, the distributions of their maxima linearly normalized do not have non-degenerate limits. We show, however, that by concerning an array of queueing processes limiting behaviors of these maximum queue lengths can be established under certain conditions.

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SOME RESULTS ON THE COMMUTATIVE PRODUCT OF DISTRIBUTIONS

  • Fisher, Brian;Nicholas, Joel-D.
    • 대한수학회보
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    • 제36권3호
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    • pp.495-502
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    • 1999
  • The commutative product of the distributions $x^r lnx and $x^{-r-1}$ is evaluated for r=0,1,2,.... The commutative product of the distributions $x^rln(x+i0) and $(x+i0)^{-r-1}$ is also evaluated for r=1,2,.... Further products are deduced.

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