• Title/Summary/Keyword: Asymptotic limit

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ASYMPTOTIC DISTRIBUTION OF DEA EFFICIENCY SCORES

  • S.O.
    • Journal of the Korean Statistical Society
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    • v.33 no.4
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    • pp.449-458
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    • 2004
  • Data envelopment analysis (DEA) estimators have been widely used in productivity analysis. The asymptotic distribution of DEA estimator derived by Kneip et al. (2003) is too complicated and abstract for analysts to use in practice, though it should be appreciated in its own right. This paper provides another way to express the limit distribution of the DEA estimator in a tractable way.

Bifurcation Modes in the Limit of Zero Thickness of Axially Compressed Circular Cylindrical Shell

  • Kwon, Young-Joo
    • Journal of Mechanical Science and Technology
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    • v.14 no.1
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    • pp.39-47
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    • 2000
  • Bifurcation intability modes of axially compressed circular cylindrical shell are investigated in the limit of zero thickness (i.e., h (thickness) ${\rightarrow}$ 0) analytically, adopting the general stability theory developed by Triantafyllidis and Kwon (1987) and Kwon (1992). The primary state of the shell is obtained in a closed form using the asymptotic technique, and then the straight-forward bifurcation analysis is followed according to the general stability theory to obtain the bifurcation modes in the limit of zero thickness in a full analytical manner. Hence, the closed form bifurcation solution is obtained. Finally, the result is compared with the classical one.

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A Note on Central Limit Theorem for Deconvolution Wavelet Density Estimators

  • Lee, Sungho
    • Communications for Statistical Applications and Methods
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    • v.9 no.1
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    • pp.241-248
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    • 2002
  • The problem of wavelet density estimation based on Shannon's wavelets is studied when the sample observations are contaminated with random noise. In this paper we will discuss the asymptotic normality for deconvolving wavelet density estimator of the unknown density f(x) when courier transform of random noise has polynomial descent.

Allowable limit of physical optics in radar cross section analysis of edge shape (가장자리 형상의 레이더 반사 면적 해석에서 물리광학기법의 적용 한계)

  • Baek, Sang-Min
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.1
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    • pp.78-85
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    • 2018
  • As a numerical analysis technique to predict the radar cross section of an aircraft, a full wave method or an asymptotic method is mainly used. The full-wave method is expected to be relatively accurate compared with the asymptotic method. The asymptotic method is numerically efficient, and it is more widely used in the RCS analysis. However, the error that occurs when estimating the RCS using the asymptotic method is difficult to predict easily. In this paper, we analyze the allowable limits of physical optics by constructing a wedge-cylinder model and comparing the RCS prediction results between the method of moment and physical optics while changing the edge shape. Finally, this study proposes a criterion for allowable limit of physical optics in the RCS estimation.

Tests for Exponentiality Against Harmonic New Better Than Used in Expectation Property of Life Distributions

  • Al-Ruzaiza, A.S.
    • International Journal of Reliability and Applications
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    • v.4 no.4
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    • pp.171-181
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    • 2003
  • This paper proposes a U-test statistic for the problem of testing that a life distribution is exponential against the alternative that it is harmonic new better (worse) than used in expectation upper tail HNBUET (HNWUET), but not exponential on complete data. Selected critical values are tabulated for sample sizes n =5(1)60. The asymptotic normality of the statistic is proved and a comparison is made of the asymptotic efficiency between the statistic and other statistics. The power of the test is studied by simulation. A test for HNBUET in the case of randomly right-censored data is also considered. An application of the proposed test statistic in medical sciences is given.

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ON AN ARRAY OF WEAKLY DEPENDENT RANDOM VECTORS

  • Jeon, Tae-Il
    • Communications of the Korean Mathematical Society
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    • v.16 no.1
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    • pp.125-135
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    • 2001
  • In this article we investigate the dependence between components of the random vector which is given as an asymptotic limit of an array of random vectors with interlaced mixing conditions. We discuss the cross covariance of the limiting vector process and give a stronger condition to have a central limit theorem for an array of random vectors with mixing conditions.

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TRANSITIVITY, TWO-SIDED LIMIT SHADOWING PROPERTY AND DENSE ω-CHAOS

  • Oprocha, Piotr
    • Journal of the Korean Mathematical Society
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    • v.51 no.4
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    • pp.837-851
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    • 2014
  • We consider ${\omega}$-chaos as defined by S. H. Li in 1993. We show that c-dense ${\omega}$-scrambled sets are present in every transitive system with two-sided limit shadowing property (TSLmSP) and that every transitive map on topological graph has a dense Mycielski ${\omega}$-scrambled set. As a preliminary step, we provide a characterization of dynamical properties of maps with TSLmSP.

A CLT FOR A SEQUENCE OF RANDOM FIELDS ON A RESTRICTED INDEXED SET

  • JEON T. I.
    • Journal of applied mathematics & informatics
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    • v.18 no.1_2
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    • pp.441-453
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    • 2005
  • In this article we will introduce a real valued random field on a restricted indexed set and construct a classical asymptotic limit theorems on them. We will survey the basic properties of weakly dependent random processes and investigate two major mixing conditions for sequences of random variables. The concepts of weakly dependent sequence of random variables will be generalized to the case of random fields. Finally we will construct a central limit theorem and prove it.

ASYMPTOTIC PROPERTIES OF RANDOM CENTRAL ORDER STATISTICS UNDER CONTAMINATION

  • Kim, Sung-Kyun;Kim, Sung-Lai
    • Journal of applied mathematics & informatics
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    • v.8 no.2
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    • pp.627-634
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    • 2001
  • Under contamination, Bahadur representations with a strong remainder term are derived for random central order statistics with a prescribed limiting rank, and asymptotic normalities for these statistics of truncated and contaminated data are proved, with a suitable limiting rank. From these results, an application to the fixed-width confidence interval problem is available.