• Title/Summary/Keyword: Order Statistics

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A STATISTICS INTERPOLATION METHOD: LINEAR PREDICTION IN A STOCK PRICE PROCESS

  • Choi, U-Jin
    • Journal of the Korean Mathematical Society
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    • v.38 no.3
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    • pp.657-667
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    • 2001
  • We propose a statistical interpolation approximate solution for a nonlinear stochastic integral equation of a stock price process. The proposed method has the order O(h$^2$) of local error under the weaker conditions of $\mu$ and $\sigma$ than those of Milstein' scheme.

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Analysis of Daily Precipitation in South Korea Using a Higher Order Markov Chain-dependent Model (고차의 마코브 연쇄-의존 모델을 이용한 남한 강수량 자료의 분석)

  • 박정수;정영근;김래선
    • The Korean Journal of Applied Statistics
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    • v.12 no.2
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    • pp.347-362
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    • 1999
  • 강수 형태 및 강수량을 동시에 고려하는 1차의 마코브 연쇄-의존 모델을 고차의 모델로 확장하였다. 남한의 53개 지역의 강수량 자료에 대해 계절별로 마코브 연쇄의 차수를 결정하였고, 고차의 마코브 연쇄-의존 모델을 적용하여 강수량의 분포특성을 살펴 보았다.

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Improvement of Boundary Bias in Nonparametric Regression via Twicing Technique

  • Jo, Jae-Keun
    • Communications for Statistical Applications and Methods
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    • v.4 no.2
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    • pp.445-452
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    • 1997
  • In this paper, twicing technique for the improvement of asymptotic boundary bias in nonparametric regression is considered. Asymptotic mean squared errors of the nonparametric regression estimators are derived at the boundary region by twicing the Nadaraya-Waston and local linear smoothing. Asymptotic biases of the resulting estimators are of order$h^2$and$h^4$ respectively.

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Adaptive Estimation of Monotone Functions

  • Kang, Yung-Gyung
    • Journal of the Korean Statistical Society
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    • v.27 no.4
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    • pp.485-494
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    • 1998
  • In the white noise model we construct an adaptive estimate for f(0) for a decreasing function f. We also show that the maximum mean square error of this estimate attains the same rate as the minimax risk simultaneously over a range of Lipschitz classes of order less than or equal to one.

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Bayesian Estimation of Multinomial and Poisson Parameters Under Starshaped Restriction

  • Oh, Myong-Sik
    • Communications for Statistical Applications and Methods
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    • v.4 no.1
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    • pp.185-191
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    • 1997
  • Bayesian estimation of multinomial and Poisson parameters under starshped restriction is considered. Most Bayesian estimations in order restricted statistical inference require the high-dimensional integration which is very difficult to evaluate. Monte Carlo integration and Gibbs sampling are among alternative methods. The Bayesian estimation considered in this paper requires only evaluation of incomplete beta functions which are extensively tabulated.

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STOCHASTIC ACTIVITY NETWORKS WITH TRUNCATED EXPONENTIAL ACTIVITY TIMES

  • ABDELKADER YOUSRY H.
    • Journal of applied mathematics & informatics
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    • v.20 no.1_2
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    • pp.119-132
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    • 2006
  • This paper presents an approach for using right-truncated exponentially distributed random variables to model activity times in stochastic activity networks. The advantages of using the right-truncated exponential distribution are discussed. The moments of a project completion time using the proposed distribution are derived and compared with other estimated moments in literature.