• 제목/요약/키워드: BOOTSTRAP

검색결과 686건 처리시간 0.021초

붓스크랩 기법을 이용한 다심 광커넥터 손실특성 예측 (Bootstrap Simulation for Performance Evaluation of Optical Multifiber Connectors)

  • 전오곤;강기훈
    • 품질경영학회지
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    • 제26권4호
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    • pp.250-264
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    • 1998
  • The purpose of the thesis is to develop simulation program for forecasting of optical connector. So we can achieve the time and the money saving for making the optical connector. Optical performance (insertion loss) of optical connector mainly relies on 3 misalignment factors-ferrule factor due to mis-manufacture from design, auto-centering effect that is fiber behavior phenomena between hole and fiber, fiber misalignment factor. Simulation use experimental data with auto-centering effect and fiber factor and use pseudo data with ferrule through random number generation because it is developing stage. In this study we a, pp.y kernel density estimation method with experimental data in order to know whether it belong to or not specific parametric distribution family. And we simulate to forecast insertion loss of optical multifiber connector under specific design model using nonparametric bootstrap resampling data and parametric pseudo samples from uniform distribution. We obtain the tolerance specifications of misalignment factors satisfying not exceed in maximum 1.0dB and choose optimal hole diameter.

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새로운 step wedge의 Bootstrap법에 의한 X선 sensitometry (X-ray Sensitometry by Bootstrap Method Using New Step Wedge)

  • 안봉선;허준
    • 대한방사선기술학회지:방사선기술과학
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    • 제14권1호
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    • pp.45-48
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    • 1991
  • Recently developed new step wedge has a small size as $10{\times}10\;cm^2$. It can use central beam, and is affected little by scattered rays emmitted from the neighboring step wedges. It's characteristics are same as the intensity scale method, and are excellent compared with conventional boot strap methods. Moreover, the method using new step wedge is simple in operation, and the characteristics are excellent. Now, the above method using new step wedge can supercede the distance method.

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Bootstrapping and DNA Marker Mining of ILSTS098 Microsatellite Locus in Hanwoo Chromosome 2

  • Lee, Jea-Young;Kwon, Jae-Chul
    • Communications for Statistical Applications and Methods
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    • 제13권3호
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    • pp.525-535
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    • 2006
  • We describe tests for detecting and locating quantitative traits loci (QTL) for traits in Hanwoo. Lod scores and a permutation test have been described. From results of a permutation test to detect QTL, we select major DNA markers of ILSTS098 microsatellite locus in Hanwoo chromosome 2 for further analysis. K-means clustering analysis applied to four traits and eight DNA markers in ILSTS098 resulted in three cluster groups. We conclude that the major DNA markers of BMS1167 microsatellite locus in Hanwoo chromosome 2 are markers 105bp, 113bp and 115bp. Finally, bootstrap testing method has been adapted to calculate confidence intervals and for finding major DNA Markers.

변환된 GARCH모형에서의 예측값 추정 (Prediction Value Estimation in Transformed GARCH Models)

  • 박주연;여인권
    • 응용통계연구
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    • 제22권5호
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    • pp.971-979
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    • 2009
  • 이 논문에서는 GARCH 모형에서 변환-역변환 방법을 통해 예측값을 추정할 때 발생하는 편향을 줄이기 위한 방법을 소개한다. 모수적 붓스트랩을 활용하여 본래 척도에서의 최소평균제곱오차 예측값인 조건부 기대값을 계산한다. KOSPI와 KOSDAQ 수익률 분석을 통해 제안한 방법이 편향을 줄여주는 것을 확인하였다.

정규 분포의 혼합성 판단기준 (A critrion for identification of the mixture normal distribution)

  • 홍종선;최병수;엄종석
    • 응용통계연구
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    • 제7권1호
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    • pp.131-140
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    • 1994
  • 패턴분류대상이 되는 자료로부터 패턴식별함수를 찾고 패턴분류에 적용시키기 위하여, 우선 이러한 자료에 몇 개의 패턴이 존재하는지를 알아야 하는 문제점에 대하여 고려하였다. 수집된 자료가 단일분포로부터 발생하였는지 또는 두 개의 혼합분포로부터 발생하였는지를 판단하는 기준을 표본분산의 특성값인 분산의 부트스트랩 추정값 (bootstrap estimate)으로 설정하였다. 새로운 판단기준의 특성에 대하여 살펴보고 시뮬레이션을 통하여 판단기준의 적합성을 연구하였다.

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Almost Sure Convergence of Randomly Weighted Sums with Application to the Efrom Bootstrap

  • Kim, Tae-Sung;Kim, Hyuk-Joo;Seok, Eun-Yang
    • Communications for Statistical Applications and Methods
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    • 제6권2호
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    • pp.585-594
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    • 1999
  • Let {$X_{nj}$, 1$\leq$j$\leq$n,j$\geq$1} be a triangular array of random variables which are neither independent nor identically distributed. The almost sure convergences of randomly weighted partial sums of the form $$\sum_n^{j=1}$$ $W_{nj}$$X_{nj} are studied where {Wnj 1$\leq$j$\leq$n, j$\geq$1} is a triangular array of random weights. Application regarding the Efron bootstrap is also introduced.

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Parametric inference on step-stress accelerated life testing for the extension of exponential distribution under progressive type-II censoring

  • El-Dina, M.M. Mohie;Abu-Youssef, S.E.;Ali, Nahed S.A.;Abd El-Raheem, A.M.
    • Communications for Statistical Applications and Methods
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    • 제23권4호
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    • pp.269-285
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    • 2016
  • In this paper, a simple step-stress accelerated life test (ALT) under progressive type-II censoring is considered. Progressive type-II censoring and accelerated life testing are provided to decrease the lifetime of testing and lower test expenses. The cumulative exposure model is assumed when the lifetime of test units follows an extension of the exponential distribution. Maximum likelihood estimates (MLEs) and Bayes estimates (BEs) of the model parameters are also obtained. In addition, a real dataset is analyzed to illustrate the proposed procedures. Approximate, bootstrap and credible confidence intervals (CIs) of the estimators are then derived. Finally, the accuracy of the MLEs and BEs for the model parameters is investigated through simulation studies.

Coherent Forecasting in Binomial AR(p) Model

  • Kim, Hee-Young;Park, You-Sung
    • Communications for Statistical Applications and Methods
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    • 제17권1호
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    • pp.27-37
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    • 2010
  • This article concerns the forecasting in binomial AR(p) models which is proposed by Wei$\ss$ (2009b) for time series of binomial counts. Our method extends to binomial AR(p) models a recent result by Jung and Tremayne (2006) for integer-valued autoregressive model of second order, INAR(2), with simple Poisson innovations. Forecasts are produced by conditional median which gives 'coherent' forecasts, and we estimate the forecast distributions of future values of binomial AR(p) models by means of a Monte Carlo method allowing for parameter uncertainty. Model parameters are estimated by the method of moments and estimated standard errors are calculated by means of block of block bootstrap. The method is fitted to log data set used in Wei$\ss$ (2009b).

Bootstrapping of Hanwoo Chromosome17 Based on BMS1167 Microsatellite Locus

  • Lee, Jea-Young;Lee, Yong-Won;Yeo, Jung-Sou
    • Journal of the Korean Data and Information Science Society
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    • 제18권1호
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    • pp.175-184
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    • 2007
  • LOD scores and a permutation test for detecting and locating quantitative trait loci (QTL) from the Hanwoo economic trait have been described and we selected a considerable major BMS1167 locus for further analysis. K-means clustering analysis, for the major DNA marker mining of BMS1167 microsatellite loci in Hanwoo chromosome17, has been tried and three cluster groups divide four traits. The three cluster groups are classified according to eight DNA marker bps. Finally, we employed the bootstrap test method to calculate confidence intervals using the resampling method to find major DNA markers. We conclude that the major marker of BMS1167 locus in Hanwoo chromosome17 is only DNA marker 100bp.

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Bootstrapping and DNA marker Mining of BMS941 microsatellite locus in Hanwoo chromosome 17

  • Lee, Jea-Young;Bae, Jung-Hwan;Yeo, Jung-Sou
    • Journal of the Korean Data and Information Science Society
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    • 제18권4호
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    • pp.1103-1113
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    • 2007
  • LOD scores and a permutation test for detecting and locating Quantitative trait loci(QTL) from the Hanwoo economic trait have been described and we selected a considerable major BMS941 locus. K -means clustering analysis of eight markers in BMS941 and four traits resulted in three cluster groups. Finally, we applied the bootstrap test method to calculate confidence intervals for finding major DNA markers. We conclude that the major markers of BMS941 locus in Hanwoo chromosome 17 are markers 85bp and 105bp.

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