• 제목/요약/키워드: asymptotic density

검색결과 98건 처리시간 0.024초

Asymptotic Characteristics of MSE-Optimal Scalar Quantizers for Generalized Gamma Sources

  • 이재건;나상신
    • 한국통신학회논문지
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    • 제37권5A호
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    • pp.279-289
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    • 2012
  • Characteristics, such as the support limit and distortions, of minimum mean-squared error (MSE) N-level uniform and nonuniform scalar quantizers are studied for the family of the generalized gamma density functions as N increases. For the study, MSE-optimal scalar quantizers are designed at integer rates from 1 to 16 bits/sample, and their characteristics are compared with corresponding asymptotic formulas. The results show that the support limit formulas are generally accurate. They also show that the distortion of nonuniform quantizers is observed to converge to the Panter-Dite asymptotic constant, whereas the distortion of uniform quantizers exhibits slow or even stagnant convergence to its corresponding Hui-Neuhoff asymptotic constant at the studied rate range, though it may stay at a close proximity to the asymptotic constant for the Rayleigh and Laplacian pdfs. Additional terms in the asymptote result in quite considerable accuracy improvement, making the formulas useful especially when rate is 8 or greater.

ASYMPTOTIC LIMITS FOR THE SELF-DUAL CHERN-SIMONS CP(1) MODEL

  • HAN, JONG-MIN;NAM, HEE-SEOK
    • 대한수학회논문집
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    • 제20권3호
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    • pp.579-588
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    • 2005
  • In this paper we study the asymptotics for the energy density in the self-dual Chern-Simons CP(1) model. When the sequence of corresponding multivortex solutions converges to the topological limit, we show that the field configurations saturating the energy bound converges to the limit function. Also, we show that the energy density tends to be concentrated at the vortices and antivortices as the Chern-Simons coupling constant $\kappa$ goes to zero.

On the Plug-in Bandwidth Selectors in Kernel Density Estimation

  • Park, Byeong-Uk
    • Journal of the Korean Statistical Society
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    • 제18권2호
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    • pp.107-117
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    • 1989
  • A stronger result than that of Park and Marron (1994) is proved here on the asymptotic distribution of the plug-in bandwidth selector. The new result is that the plug-in bandwidth selector may have the rate of convergence ($n^{-4/13}$ with less smoothness conditions on the unknown density functions than as described in Park and Marron's paper. Together with this, a class of various plug-in bandwidth selectors are considered and their asymptotic distributions are given. Finally, some ideas of possible improvements on those plug-in bandwidth selectors are provided.

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PERIODOGRAM ANALYSIS WITH MISSING OBSERVATIONS

  • Ghazal M.A.;Elhassanein A.
    • Journal of applied mathematics & informatics
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    • 제22권1_2호
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    • pp.209-222
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    • 2006
  • Estimation of the spectral measure, covariance and spectral density functions of a strictly stationary r-vector valued time series is considered, under the assumption that some of the observations are missed. The modified periodograms are calculated using data window. The asymptotic normality is studied.

Asymptotics of the Variance Ratio Test for MA Unit Root Processes

  • Lee, Jin
    • Communications for Statistical Applications and Methods
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    • 제17권2호
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    • pp.223-229
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    • 2010
  • We consider the asymptotic results of the variance ratio statistic when the underlying processes have moving average(MA) unit roots. This degenerate situation of zero spectral density near the origin cause the limit of the variance ratio to become zero. Its asymptotic behaviors are different from non-degenerating case, where the convergence rate of the variance ratio statistic is formally derived.

Asymptotic Density of Quadratic Forms

  • 최기현
    • 응용통계연구
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    • 제4권2호
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    • pp.149-156
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    • 1991
  • 본 논문에서는 여러 분야에서 중요한 역할을 하는 이차형식의 정확한 밀도함수를 구하는 것 이 어려운 경우에 극소극한정리를 포함하는 문제들에 토레플리트(Toelitz) 형식의 고유값에 대한 점근 이론을 갖고서 이차형식의 점근 밀도함수를 구하였다.

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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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    • 제9권1호
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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.

MODEL DUST ENVELOPES FOR ASYMPTOTIC GIANT BRANCH STARS. I. OH/IR STARS

  • Suh, Kyung-Won
    • Journal of Astronomy and Space Sciences
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    • 제12권2호
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    • pp.157-167
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    • 1995
  • OH/IR stars are the most massive and youngest subclass in asymptotic giant branch stars which pass through sporadic superwind phases. We have modeled the dust envelopes around OH/IR stars with close attention to the evolution of the structure of the dust shells. We use various dust density distributions to take account the effect of the superwind due to the helium shell flash by adding a density increased region. Depending on the position and quality of the density increased region, the model results are different from the results with conventional density distribution. The new results fit the observations of some OH/IR stars better. Especially, the OH/IR stars with excessive 30-100$\mu$m emission can be better explained by the new results. The IR two-color diagrams comparing the results of the superwind models and IRAS observation of 95 OH/IR stars have been made. The new results can explain much wider regions on the IR two-color diagrams.

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A Review on Nonparametric Density Estimation Using Wavelet Methods

  • Sungho;Hwa Rak
    • Communications for Statistical Applications and Methods
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    • 제7권1호
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    • pp.129-140
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    • 2000
  • Wavelets constitute a new orthogonal system which has direct application in density estimation. We introduce a brief wavelet density estimation and summarize some asymptotic results. An application to mixture normal distributions is implemented with S-Plus.

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Optimal Designs for Multivariate Nonparametric Kernel Regression with Binary Data

  • Park, Dong-Ryeon
    • Communications for Statistical Applications and Methods
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    • 제2권2호
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    • pp.243-248
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    • 1995
  • The problem of optimal design for a nonparametric regression with binary data is considered. The aim of the statistical analysis is the estimation of a quantal response surface in two dimensions. Bias, variance and IMSE of kernel estimates are derived. The optimal design density with respect to asymptotic IMSE is constructed.

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