• 제목/요약/키워드: Data Compare

검색결과 8,160건 처리시간 0.039초

Jackknife Parametric Estimations in a Truncated Arcsine Distribution

  • Kim, Jung-Dae;Lee, Chang-Soo
    • Journal of the Korean Data and Information Science Society
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    • 제8권1호
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    • pp.91-97
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    • 1997
  • Maximum likelihood and jackknife estimators of the location and scale parameters and right-tail probability in the truncated arcsine distribution are proposed, and we shall compare the performances of the proposed estimators in terms of bias and mean squared error.

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Estimating Parameters in Overdispersed Binary Data

  • Lee, Sunho
    • Communications for Statistical Applications and Methods
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    • 제7권1호
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    • pp.269-276
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    • 2000
  • there are several methods available for estimating parameters in overdispersed binary response data with the litter effect. Simulations are performed to compare methods for estimating an overall mean and an overdispersion parameter using moments a maximum likelihood under a beta-binomial distribution a maximum quasi-likelihood and a maximum extended quasi-likelihood.

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Shrinkage Estimator of Dispersion of an Inverse Gaussian Distribution

  • Lee, In-Suk;Park, Young-Soo
    • Journal of the Korean Data and Information Science Society
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    • 제17권3호
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    • pp.805-809
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    • 2006
  • In this paper a shrinkage estimator for the measure of dispersion of the inverse Gaussian distribution with known mean is proposed. Also we compare the relative bias and relative efficiency of the proposed estimator with respect to minimum variance unbiased estimator.

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On Roots of Perturbed Polynomials

  • Park, Young-Kou
    • Journal of the Korean Data and Information Science Society
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    • 제16권1호
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    • pp.127-136
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    • 2005
  • We will derive some results on the perturbation of roots using Newton's interpolation formula. And we also compare our results with those obtained by Ostrowski by giving some numerical experiments with Wilkinson's polynomials.

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야전운용자료를 활용한 항공무기체계의 RAM 목표값 비교분석 (Comparison of RAM Target Value and Operation Data in Air Weapon Systems)

  • 김인석;정원
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제15권4호
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    • pp.282-288
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    • 2015
  • Purpose : The purpose of this study is to compare the RAM (reliability, availability and maintainability) value in the acquisition phase with operational period for air weapon systems. The objective is to determine if the value of RAM is sufficient in the field, and look for any difference from the target value to some extent. Methods : For a case study, the ${\bigcirc}{\bigcirc}$ training aircraft is selected. Data from the two acquisition sources are utilized. One is the operational data in domestic aircraft through research and development, and the other is the data from imported aircraft. The two different sources were collected independently and distinctly. Results : According to the analysis, the domestic aircraft shows high deviation in RAM value compare to the imported systems. This is due to the effort of continuous reliability improvement. In the aspect of maintainability, the result shows a slight deviation, and the availability meets the requirement. Conclusion : The results of this study can be used in finding a way that can be effectively applied to the sustainability in the weapon system. If the RAM performance is significantly lower than the target value, then it is necessary to improve the design activities so that they can achieve the RAM target value.

AMI로부터 측정된 전력사용데이터에 대한 군집 분석 (Clustering load patterns recorded from advanced metering infrastructure)

  • 안효정;임예지
    • 응용통계연구
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    • 제34권6호
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    • pp.969-977
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    • 2021
  • 본 연구에서는 Hierarchical K-means 군집화 알고리즘을 이용해 서울의 A아파트 가구들의 전력 사용량 패턴을 군집화 하였다. 차원을 축소해주면서 패턴을 파악할 수 있는 Hierarchical K-means 군집화 알고리즘은 기존 K-means 군집화 알고리즘의 단점을 보완하여 최근 대용량 전력 사용량 데이터에 적용되고 있는 방법론이다. 본 연구에서는 여름 저녁 피크 시간대의 시간당 전력소비량 자료에 대해 군집화 알고리즘을 적용하였으며, 다양한 군집 개수와 level에 따라 얻어진 결과를 비교하였다. 결과를 통해 사용량에 따라 패턴이 군집화 됨을 확인하였으며, 군집화 유효성 지수들을 통해 이를 비교하였다.

빅데이터 환경에서 스트림 질의 처리를 위한 인메모리 기반 점진적 처리 기법 (In-Memory Based Incremental Processing Method for Stream Query Processing in Big Data Environments)

  • 복경수;육미선;노연우;한지은;김연우;임종태;유재수
    • 한국콘텐츠학회논문지
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    • 제16권2호
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    • pp.163-173
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    • 2016
  • 최근 대용량의 스트림 데이터를 분산 처리하기 위한 연구들이 진행되고 있다. 본 논문에서는 빅데이터 환경에서 실시간 스트림 데이터의 점진적 처리 기법을 제안한다. 제안하는 기법은 처음 스트림 데이터가 입력되면 임시 큐에 데이터를 저장하고 마스터 노드에 저장되어 데이터와 비교과정을 통해 마스터 노드에 동일한 데이터가 있는 경우 마스터 노드에서 가지고 있는 노드의 정보를 이용하여 해당 노드의 메모리에서 기존 처리 결과를 재사용한다. 기존 처리 결과가 없다면 처리하고 처리 결과를 메모리에 저장한다. 분산 환경에서 점진적인 스트리밍 데이터 처리를 위해 노드의 작업 지연을 계산하여 노드의 부하를 파악하고 처리 시간 계산을 통해 각 노드의 성능을 고려한 잡 스케쥴링 기법을 제안한다. 제안하는 기법의 우수성을 보이기 위해 기존 기법과의 질의 수행 시간 비교를 위한 성능평가를 수행한다.

OSMI ocean color products with updated cross-calibration coefficients

  • Lee S. G.;Kim Y. S.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.494-497
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    • 2004
  • To date the KOMPSAT OSMI(Ocean Scanning Multi-spectral Imager) data have been widely used in natural disaster monitoring such as Typhoon, Asian Dust, Red Tide, and Forest Fire. Quantitative analyses related to the marine ecosystem have been delayed because they require good quality of data through Cal/Val activities. To resolve such problem, KARI performed the OSMI crosscalibration study with SeaWiFS team. In this study, we will demonstrate the OSMI ocean color products with updated cross-calibration coefficients and compare them to the previous cross-calibration results.

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A Family of Tests for Trend Change in Mean Residual Life using Censored Data

  • Na, Myung-Hwan;Kim, Jae-Joo
    • International Journal of Reliability and Applications
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    • 제1권1호
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    • pp.39-47
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    • 2000
  • In a resent paper, Na and Kim(2000) develop a family of test statistics for testing whether or not the mean residual life changes its trend based on complete data and show that the new tests perform better than previously known tests. In this paper, we extend their tests to the randomly censored data. The asymptotic normality of the test statistics is established. Monte Carlo simulations are conducted to compare our tests with a previously known test by the power of tests.

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