• 제목/요약/키워드: Kullback­Leibler information function

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Kullback-Leibler Information of Consecutive Order Statistics

  • Kim, Ilmun;Park, Sangun
    • Communications for Statistical Applications and Methods
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    • 제22권5호
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    • pp.487-494
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    • 2015
  • A calculation of the Kullback-Leibler information of consecutive order statistics is complicated because it depends on a multi-dimensional integral. Park (2014) discussed a representation of the Kullback-Leibler information of the first r order statistics in terms of the hazard function and simplified the r-fold integral to a single integral. In this paper, we first express the Kullback-Leibler information in terms of the reversed hazard function. Then we establish a generalized result of Park (2014) to an arbitrary consecutive order statistics. We derive a single integral form of the Kullback-Leibler information of an arbitrary block of order statistics; in addition, its relation to the Fisher information of order statistics is discussed with numerical examples provided.

On Estimating of Kullback-Leibler Information Function using Three Step Stress Accelerated Life Test

  • Park, Byung-Gu;Yoon, Sang-Chul;Cho, Ji-Young
    • International Journal of Reliability and Applications
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    • 제1권2호
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    • pp.155-165
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    • 2000
  • In this paper, we propose some estimators of Kullback- Leibler Information functions using the data from three step stress accelerated life tests. This acceleration model is assumed to be a tampered random variable model. Some asymptotic properties of proposed estimators are proved. Simulations are performed for comparing the small sample properties of the proposed estimators under use condition of accelerated life test.

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Exponentiality Test of the Three Step-Stress Accelerated Life Testing Model based on Kullback-Leibler Information

  • Park, Byung-Gu;Yoon, Sang-Chul;Lee, Jeong-Eun
    • Journal of the Korean Data and Information Science Society
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    • 제14권4호
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    • pp.951-963
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    • 2003
  • In this paper, we propose goodness of fit test statistics based on the estimated Kullback-Leibler information functions using the data from three step stress accelerated life test. This acceleration model is assumed to be a tampered random variable model. The power of the proposed test under various alternatives is compared with Kolmogorov-Smirnov statistic, Cramer-von Mises statistic and Anderson-Darling statistic.

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대규모 분할표 분석 (Analysis of Large Tables)

  • 최현집
    • 응용통계연구
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    • 제18권2호
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    • pp.395-410
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    • 2005
  • 많은 수의 범주형 변수에 의한 대규모 분할표 분석을 위하여 차원축소(collapsibility) 성질을 이용한 분석 방법을 제안하였다. kullback-Leibler의 발산 측도(divergence measure)를 이용한 서로 완전한 연관을 갖는 변수그룹을 결정하는 방법을 제안하였으며, 제안된 방법에 의한 변수그룹은 주변 로그선형모형(marginal log-linear models)에 의하여 변수들간의 연관성을 식별할 수 있다. 제안된 방법의 적용 예로 데이터 마이닝에서 흔히 접할 수 있는 대규모 분할표 자료인 소비자들의 구매행위 분석을 위한 장바구니 자료의 분석 결과를 제시하였다.

쿨백­라이블러 정보함수 이용한 단계 스트레스 가속수명모형의 지수성 검정 (Test of Exponentiality in Step Stress Accelerated Life test Model based on Kullback­Leibler Information Function)

  • 박병구;윤상철
    • 품질경영학회지
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    • 제31권4호
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    • pp.194-202
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    • 2003
  • In this paper, we propose goodness of fit test statistics for exponentiality in accelerated life tests data based on Kullback­Leibler information functions. This acceleration model is assumed to be a tampered random variable model. The procedure is applicable when the exponential parameter using the data from accelerated life tests is or is not specified under null hypothesis. And we compare the power of the proposed test statistics with Kolmogorov­Smirnov, Cramer von Mises and Anderson­Darling statistics in the small sample.

Testing Exponentiality of Kullback-Leibler Information Function based on a Step Stress Accelerated Life Test

  • 박병구;윤상철
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2000년도 추계학술발표회 논문집
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    • pp.235-240
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    • 2000
  • In this paper a test of fit for exponentiality and we propose the estimator of Kullback-Leibler Information functions using the data from accelerated life tests. This acceleration model is assumed to be a tampered random variable model. The procedure is applicable when the exponential parameter based on the data from accelerated life tests is or is not specified under null hypothesis. Using Simulations, the power of the proposed test based on use condition of accelerated life test under alternatives is compared with that of other standard tests in the small sample.

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단계 스트레스 가속수명모형을 이용한 쿨백-라이블러 정보함수에 대한 추정 (An Estimation of Kullback-Leibler Information Function based on Step Stress Accelerated Life Test)

  • 박병구;윤상철;조건호
    • 응용통계연구
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    • 제13권2호
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    • pp.563-573
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    • 2000
  • 이 논문에서는 변환확률변수에서 수명시간이 지수분포를 따르고 서로 독립일 때 두 단계 스트레스 가속수명시험으로부터 얻은 자료를 이용하여 쿨백-라이블러 정보함수를 이용한 모수의 추정량을 제안하고, 두 단계 스트레스 가속수명시험의 정상조건에서 편의와 평균제곱오차 관점에서 모의실험을 통하여 세가지 추정량들의 소표본 특성을 비교 논의하고자 한다

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Generalized Kullback-Leibler information and its extensions to censored and discrete cases

  • Park, Sangun
    • Journal of the Korean Data and Information Science Society
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    • 제23권6호
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    • pp.1223-1229
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    • 2012
  • In this paper, we propose a generalized Kullback-Leibler (KL) information for measuring the distance between two distribution functions where the extension to the censored case is immediate. The generalized KL information has the nonnegativity and characterization properties, and its censored version has the additional property of monotonic increase. We also extend the discussion to the discrete case and propose a generalized censored measure which is comparable to Pearson's chi-square statistic.

쿨백-라이블러 정보함수를 이용한 누적노출모형 추정 (An Estimation of Cumulative Exposure Model based on Kullback-Leibler Information Function)

  • 안정향;윤상철
    • 한국산업정보학회논문지
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    • 제9권2호
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    • pp.1-8
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    • 2004
  • 본 논문은 누적노출모형에서 수명시간이 지수분포를 따르고 서로 독립일 때 쿨백-라이블러 정보함수를 이용하여 단계 스트레스 가속수명시험으로부터 얻은 자료로부터 모수의 추정량을 제안하고, 단계 스트레스 가속수명시험의 정상조건에서 편의와 평균제곱오차 관점에서 모의실험을 통하여 Vasicek (1976), Van Es (1992)와 Correa (1995)가 제안한 세가지 추정량들에 대한 소표본 특성을 비교 논의하고자 한다.

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A View on Extension of Utility-Based on Links with Information Measures

  • Hoseinzadeh, A.R.;Borzadaran, G.R.Mohtashami;Yari, G.H.
    • Communications for Statistical Applications and Methods
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    • 제16권5호
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    • pp.813-820
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    • 2009
  • In this paper, we review the utility-based generalization of the Shannon entropy and Kullback-Leibler information measure as the U-entropy and the U-relative entropy that was introduced by Friedman et al. (2007). Then, we derive some relations between the U-relative entropy and other information measures based on a parametric family of utility functions.