• 제목/요약/키워드: Exponential family

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Comparison of Best Invariant Estimators with Best Unbiased Estimators in Location-scale Families

  • Seong-Kweon
    • Communications for Statistical Applications and Methods
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    • 제6권1호
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    • pp.275-283
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    • 1999
  • In order to estimate a parameter $(\alpha,\beta^r), r\epsilonN$, in a distribution belonging to a location-scale family we usually use best invariant estimator (BIE) and best unbiased estimator (BUE). But in some conditions Ryu (1996) showed that BIE is better than BUE. In this paper we calculate risks of BIE and BUE in a normal and an exponential distribution respectively and calculate a percentage risk improvement exponential distribution respectively and calculate a percentage risk improvement (PRI). We find the sample size n which make no significant differences between BIE and BUE in a normal distribution. And we show that BIE is always significantly better than BUE in an exponential distribution. Also simulation in a normal distribution is given to convince us of our result.

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A New Family of Semicircular Models: The Semicircular Laplace Distributions

  • Ahn, Byoung-Jin;Kim, Hyoung-Moon
    • Communications for Statistical Applications and Methods
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    • 제15권5호
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    • pp.775-781
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    • 2008
  • It is developed that a family of the semicircular Laplace distributions for modeling semicircular data by simple projection method. Mathematically it is simple to simulate observations from a semicircular Laplace distribution. We extend it to the l-axial Laplace distribution by a simple transformation for modeling any arc of arbitrary length. Similarly we develop the l-axial log-Laplace distribution based on the log-Laplace distribution. A bivariate version of l-axial Laplace distribution is also developed.

Bayes Factor for Change-point with Conjugate Prior

  • Chung, Youn-Shik;Dey, Dipak-K.
    • Journal of the Korean Statistical Society
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    • 제25권4호
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    • pp.577-588
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    • 1996
  • The Bayes factor provides a possible hierarchical Bayesian approach for studying the change point problems. A hypothesis for testing change versus no change is considered using predictive distributions. When the underlying distribution is in one-parameter exponential family with conjugate priors, Bayes factors are investigated to the hypothesis above. Finally one example is provided .

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Reliability analysis of a complex system, attended by two repairmen with vacation under marked process with the application of copula

  • Tiwari, N.;Singh, S.B.;Ram, M.
    • International Journal of Reliability and Applications
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    • 제11권2호
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    • pp.107-122
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    • 2010
  • This paper deals with the reliability analysis of a complex system, which consists of two subsystems A and B connected in series. Subsystem A has only one unit and B has two units $B_1$ and $B_2$. Marked process has been applied to model the complex system. Present reliability model incorporated two repairmen: supervisor and novice to repair the failed units. Supervisor is always there and the novice remains in vacation and is called for repair as per demand. The repair rates for supervisor and novice follow general and exponential distributions respectively and the failure time for both the subsystems follows exponential distribution. The model is analyzed under "Head of line repair discipline". By employing supplementary variable technique, Laplace transformation and Gumbel-Hougaard family of copula various transition state probabilities, reliability, availability and cost analysis have been obtained along with the steady state behaviour of the system. At the end some special cases of the system have been taken.

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불확정 모형하에서 가속수명시험의 최적 설계 (Optimal Design of Accelerated Life Tests under Model Uncertainty)

  • 서순근;하천수;김갑석
    • 품질경영학회지
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    • 제29권3호
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    • pp.49-65
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    • 2001
  • This paper presents new compromise ALT plan which is applied to situations that true relationship between stress and parameters is not known exactly. The assumed failure distribution of this study is one of location-scale family, i. e., exponential, Weibull, and lognormal distributions which have been ones of the popular choices of failure distributions. The method of applying the stress is constant, and the censoring mechanism is Type I censoring. Compared with existing compromise plans under true simple linear model in terms of statistical efficiency, the efficiency of new compromise plan is better than the corresponding other compromise ones in most cases. For case when true model is quadratic, this plan can be used without any severe loss in statistical efficiency. The proposed new compromise ALT plan is illustrated with a numerical example and sensitivity analyses are conducted to study effects of pre-estimates of design parameters.

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일원배열 가산자료에서의 처리효과 비교 (Analysis of counts in the one-way layout)

  • 이선호
    • 응용통계연구
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    • 제10권1호
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    • pp.105-119
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    • 1997
  • 일원배열형태의 가산 자료집합에서 각 군의 평균을 이용하여 처리효과를 비교할 수 있다. Barnwal과 Paul(1988)은 각 군의 산포모수가 같다는 가정 아래에서 처리에 따른 차이를 검정하는 우도검정통계량과 $C(\alpha)$ 통계량을 유도하였는데 본 연구에서는 이러한 가정이 만족되지 않아도 검정할 수 있도록 통계량을 일반화하였다. 또한 음이항분포 대신 Efron(1986)의 이중지수계 포아송 모형을 도입하여 새로운 통계량을 제시하였다. 모의실험을 통해 이중지수계 포아송 모형으로부터 유도된 $C(\alpha)$ 통계량이 어느 경우에나 적합함을 밝혔다.

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ON RELATIONS FOR QUOTIENT MOMENTS OF THE GENERALIZED PARETO DISTRIBUTION BASED ON RECORD VALUES AND A CHARACTERIZATION

  • Kumar, Devendra
    • Journal of applied mathematics & informatics
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    • 제31권3_4호
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    • pp.327-336
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    • 2013
  • Generalized Pareto distributions play an important role in re-liability, extreme value theory, and other branches of applied probability and statistics. This family of distribution includes exponential distribution, Pareto distribution, and Power distribution. In this paper we establish some recurrences relations satisfied by the quotient moments of the upper record values from the generalized Pareto distribution. Further a char-acterization of this distribution based on recurrence relations of quotient moments of record values is presented.

3차 적률(Moment)의 선형적 성질

  • 동경화
    • 한국수학사학회지
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    • 제9권2호
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    • pp.15-21
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    • 1996
  • 적률법(method of moment)이란 변수 X의 멱승에대한 기대치를 이용하여 분포의 성질을 알아보는 방법이다. 여기서 적률법이 이용되어진 역사적 배경을 소개하고, 3차 적률들의 선형적 성질을 비교하였다. 먼저, Kagan이 입증한 표본평균에 관한 3차 표본적률의 선형적 성질과 Bayesian 경우에 3차 사후적률(posterior moment)과 사후평균(posterior)의 선형성을 소개하였다. 그리고, 자연지수족(natural exponential family)아래서도 표본평균에 관한 3차 표본적률의 선형성을 알아보기 위해 단순함수(simple function)의 형태로 유도하였으며, 정규분포인 경우에 적용시켜 보았다.

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Continuous Time Approximations to GARCH(1, 1)-Family Models and Their Limiting Properties

  • Lee, O.
    • Communications for Statistical Applications and Methods
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    • 제21권4호
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    • pp.327-334
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    • 2014
  • Various modified GARCH(1, 1) models have been found adequate in many applications. We are interested in their continuous time versions and limiting properties. We first define a stochastic integral that includes useful continuous time versions of modified GARCH(1, 1) processes and give sufficient conditions under which the process is exponentially ergodic and ${\beta}$-mixing. The central limit theorem for the process is also obtained.