• Title/Summary/Keyword: independent random variables

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Reliability P(Y

  • 우정수
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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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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Tail Probability Approximations for the Ratio of two Independent Sequences of Random Variables

  • Cho, Dae-Hyeon
    • Journal of the Korean Data and Information Science Society
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    • 제10권2호
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    • pp.415-428
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    • 1999
  • In this paper, we study the saddlepoint approximations for the ratio of two independent sequences of random variables. In Section 2, we review the saddlepoint approximation to the probability density function. In section 3, we derive an saddlepoint approximation formular for the tail probability by following Daniels'(1987) method. In Section 4, we represent a numerical example which shows that the errors are small even for small sample size.

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퍼지 랜덤 집합에 대한 중심극한정리 (Central limit theorems for fuzzy random sets)

  • 권중성;김윤경;주상열;최경숙
    • 한국지능시스템학회논문지
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    • 제15권3호
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    • pp.337-342
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    • 2005
  • 이 논문에서는 서로 독립이고 동일한 분포를 갖는 집합치 랜덤 변수의 합에 대한 중심극한정리의 일반화로서, 수준연속인 퍼지 집합치 랜덤 변수의 합에 대한 중심극한정리를 연구하였다.

CHARACTERIZATIONS OF GAMMA DISTRIBUTION VIA SUB-INDEPENDENT RANDOM VARIABLES

  • Hamedani, G.G.
    • 충청수학회지
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    • 제28권2호
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    • pp.187-194
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    • 2015
  • The concept of sub-independence is based on the convolution of the distributions of the random variables. It is much weaker than that of independence, but is shown to be sufficient to yield the conclusions of important theorems and results in probability and statistics. It also provides a measure of dissociation between two random variables which is much stronger than uncorrelatedness. Inspired by the excellent work of Jin and Lee (2014), we present certain characterizations of gamma distribution based on the concept of sub-independence.

THE BIVARIATE GAMMA EXPONENTIAL DISTRIBUTION WITH APPLICATION TO DROUGHT DATA

  • Nadarajah, Saralees
    • Journal of applied mathematics & informatics
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    • 제24권1_2호
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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.

부호불변(符號不變) 확률변수(確率變數)에 합(合)에 대한 반복대수(反復對數)의 법칙(法則) (On the Law of the Iterated Logarithm without Assumptions about the Existence of Moments for the Sums of Sign-Invariant Random Variables)

  • 홍덕헌
    • Journal of the Korean Data and Information Science Society
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    • 제2권
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    • pp.41-44
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    • 1991
  • Petrov (1968) gave two theorems on the law of the iterated logarithm without any assumptions about the existence of moments of independent random variables. In the present paper we show that the same holds true for sign-invariant random variables.

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EXACT SEQUENCES FOR SUMS OF PAIRWISE I.I.D. RANDOM VARIABLES

  • Hong, Dug-Hun;Park, Jin-Myung
    • 대한수학회보
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    • 제30권2호
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    • pp.167-170
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    • 1993
  • In this paper, X, X$_{1}$, X$_{2}$, .. will denote any sequence of pairwise independent random variables with common distribution, and b$_{1}$, b$_{2}$.. will denote any sequence of constants. Using Chung [2, Theorem 4.2.5] and the same idea as in Chow and Robbins [1, Lemma 1 and 2] we have the following lemma.

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Review on the Limiting Behavior of Tail Series of Independent Summands

  • Nam, Eun-Woo
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2005년도 춘계 학술발표회 논문집
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    • pp.185-190
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    • 2005
  • For the almost certainly convergent series $S_n$ of independent random variables the limiting behavior of tail series ${T_n}{\equiv}S-S_{n-1}$ is reviewed. More specifically, tail series strong laws of large number and tail series weak laws of large numbers will be introduced, and their relationship will be investigated. Then, the relationship will also be extended to the case of Banach space valued random elements, by investigating the duality between the limiting behavior of the tail series of random variables and that of random elements.

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