• Title/Summary/Keyword: Mean vector

검색결과 692건 처리시간 0.033초

SOME SEQUENCES OF IMPROVEMENT OVER LINDLEY TYPE ESTIMATOR

  • BAEK, HOH-YOO;HAN, KYOU-HWAN
    • 호남수학학술지
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    • 제26권2호
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    • pp.219-236
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    • 2004
  • In this paper, the problem of estimating a p-variate ($p{\geq}4$) normal mean vector is considered in a decision-theoretic setup. Using a simple property of the noncentral chi-square distribution, a sequence of smooth estimators dominating the Lindley type estimator has been produced and each improved estimator is better than previous one.

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A Sequence of Improvements over the Lindley Type Estimator

  • 백호유
    • Journal of the Korean Data and Information Science Society
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    • 제13권2호
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    • pp.11-19
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    • 2002
  • In this paper, the problem of estimating a p-variate $(p\geq4)$ normal mean vector in a decision-theoretic setup is considered. Using a technique of Guo and Pal (1992), a sequence of estimators dominating the Lindley type estimator is derived and each improved estimator is better than the previous one.

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On generic submanifolds of a complex projective space

  • Seong Baek Lee;Seung Gook Han;Nam Gil Kim;Seong Soo Ahn
    • 대한수학회논문집
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    • 제11권3호
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    • pp.743-756
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    • 1996
  • The purpose of this paper is to compute the covariant derivative of a shape operator of a generic submanifold of a complex space form without using the Green-Stoke's theorem. In particular, we classify complete generic submanifolds of a complex number space $C^m$ with parallel mean curvature vector satisfying a certain condition.

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SPACE-LIKE SUBMANIFOLDS WITH CONSTANT SCALAR CURVATURE IN THE DE SITTER SPACES

  • Liu, Ximin
    • 대한수학회지
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    • 제38권1호
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    • pp.135-146
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    • 2001
  • Let M(sup)n be a space-ike submanifold in a de Sitter space M(sub)p(sup)n+p (c) with constant scalar curvature. We firstly extend Cheng-Yau's Technique to higher codimensional cases. Then we study the rigidity problem for M(sup)n with parallel normalized mean curvature vector field.

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THE APPLICATION OF STOCHASTIC ANALYSIS TO COUNTABLE ALLELIC DIFFUSION MODEL

  • Choi, Won
    • 대한수학회보
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    • 제41권2호
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    • pp.337-345
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    • 2004
  • In allelic model X = ($\chi_1\chi$_2ㆍㆍㆍ, \chi_d$), M_f(t) = f(p(t)) - ${{\int^t}_0}\;Lf(p(t))ds$ is a P-martingale for diffusion operator L under the certain conditions. In this note, we can show existence and uniqueness of solution for stochastic differential equation and martingale problem associated with mean vector. Also, we examine that if the operator related to this martingale problem is connected with Markov processes under certain circumstance, then this operator must satisfy the maximum principle.

ON THE DIFFUSION PROCESSES AND THEIR APPLICATIONS IN POPULATION GENETICS

  • Choi, Won;Lee, Byung-Kwon
    • Journal of applied mathematics & informatics
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    • 제15권1_2호
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    • pp.415-423
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    • 2004
  • In allelic model X = ($x_1,\;x_2,...x_{d}$), $M_f(t)$= f(p(t)) - ${{\int}^{t}}_0$Lf(p(t))ds is a P-martingale for diffusion operator L under the certain conditions. In this note, we can show uniqueness of martingale problem associated with mean vector and obtain a complete description of ergodic property by using of the semigroup method.

구형자료(球型資料)에 대(對)한 부트스트랩 신뢰원추체(信賴圓錐體) (Bootstrap Confidence Cones for Spherical Data)

  • 신양규
    • Journal of the Korean Data and Information Science Society
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    • 제3권1호
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    • pp.33-46
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    • 1992
  • The set of eigenvectors of the second moment matrix and the mean vector are the measures of orientation for a distribution supported on the unit sphere. Bootstrap confidence cone for the eigenvector is constructed and the consistency of this method is discussed. The performance of our bootstrap cone for the eigenvector is compared with that of the asymptotic confidence cones for two measures under the parametric assumptions for the underlying distributions and that of the bootstrap cone for the mean vector by Monte Carlo simulation.

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Sequential Confidence Set of the Mean Vector of a Multivariate Distribution

  • Kim, Sung Lai
    • 충청수학회지
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    • 제5권1호
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    • pp.87-97
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    • 1992
  • Sequential procedure with ${\beta}$-protection for the mean vector ${\mu}(\theta)$ of a p(> 1)-variate multivariate distribution $P_{\theta}$, ${\theta}{\in}{\Theta}$, with covariance matrix ${\sum}(\theta)$ is considered when the only nuisance parameters is ${\sum}(\theta)$. We obtain a confidence set for ${\mu}(\theta)$ with coverage probability condition and ${\beta}$-protection at ${\mu}-{\delta}(\mu)$ for some imprecision function ${\delta}:\mathbb{R}^p{\rightarrow}\mathbb{R}^p$.

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A Sequence of Improvement over the Lindley Type Estimator with the Cases of Unknown Covariance Matrices

  • Kim, Byung-Hwee;Baek, Hoh-Yoo
    • Communications for Statistical Applications and Methods
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    • 제12권2호
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    • pp.463-472
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    • 2005
  • In this paper, the problem of estimating a p-variate (p $\ge$4) normal mean vector is considered in decision-theoretic set up. Using a simple property of the noncentral chi-square distribution, a sequence of estimators dominating the Lindley type estimator with the cases of unknown covariance matrices has been produced and each improved estimator is better than previous one.

ON NULL SCROLLS SATISFYING THE CONDITION ${\triangle}$H = AH

  • Pak, Jin-Suk;Yoon, Dae-Won
    • 대한수학회논문집
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    • 제15권3호
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    • pp.533-540
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    • 2000
  • In the present paper, we study a non-degenrate ruled surface along a null curve in a 3-dimensional Minkowski space E31, which is called a null scroll, an investigate some characterizations of null scrolls satisfying the condition H=AH, A Mat(3, ), where denotes the Laplacian of the surface with respect to the induced metric, H the mean curvature vector and Mat(3, ) the set of 3$\times$3-real matrices.

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