• 제목/요약/키워드: Residual data

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새만금지구의 퇴적과정에 관한 연구 (A study of sedimentation processes in Seamangeum coastal area)

  • Sin Mun-Seop;Yu Cheol-Ung;Kim Ik-Jung
    • 한국해안해양공학회:학술대회논문집
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    • 한국해안해양공학회 1997년도 정기학술강연회 발표논문 초록집 Annual Meeting of Korean Society of Coastal and Ocean Engineers
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    • pp.73-76
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    • 1997
  • The purpose of this study is to find sedimentation patterns variation in Saemangeum coastal sea region. Water circulations are calculated diagnostically from the observed water temperature and salinity data and wind data and tidal residual current. Three dimensional movements of injected particles due In currents, turbulence and sinking velocity are tracked by the Euler-lagrange method. Calculated sedimentation patterns of riverine material are highly similar to the observed ones.

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A new test of exponentiality against NDVRL

  • Hassan, M.KH.
    • International Journal of Reliability and Applications
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    • 제16권2호
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    • pp.123-133
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    • 2015
  • In this paper, the problem of testing exponentiality against net decreasing variance residual lifetime (NDVRL) classes of life distributions is investigated. For this property a nonparametric test is presented based on kernel method. The test is presented for complete and right censored data. Furthermore, Pitman's asymptotic relative efficiency (PARE) is discussed to assess the performance of the test with respect to other tests. Selected critical values are tabulated. Some numerical simulations on the power estimates are presented for proposed test. Finally, numerical examples are presented for the purpose of illustrating our test.

The Estimation of Mean Residual Life Function under Left Truncation and Right Censoring Model

  • Moon, Gyoung-Ae;Shin, Im-Hee;Chae, Hyeon-Suk
    • Journal of the Korean Data and Information Science Society
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    • 제6권2호
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    • pp.65-76
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    • 1995
  • The importance of left truncated and right censoring cases has considered for better information in medical follow-up and engineering life testing studies. We propose some estimation procedure for the mean residual life function with consistency and asymptotic normality on the left truncated and right censoring model. And then, the comparision with Kaplan-Meier estimator ignoring the left truncated effect and the small sample properities are investigated by asymptotic biases and M.S.E.'s thresh Monte Carlo study.

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Effects of curvature on leverage in nonlinear regression

  • Kahng, Myung-Wook
    • Journal of the Korean Data and Information Science Society
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    • 제20권5호
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    • pp.913-917
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    • 2009
  • The measures of leverage in linear regression has been extended to nonlinear regression models. We consider several curvature measures of nonlinearity in an estimation situation. The relationship between measures of leverage and statistical curvature are explored in nonlinear regression models. The circumstances under which the Jacobian leverage reduces to a tangent plane leverage are discussed in connection with the effective residual curvature of the nonlinear model.

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On scaled cumulative residual Kullback-Leibler information

  • Hwang, Insung;Park, Sangun
    • Journal of the Korean Data and Information Science Society
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    • 제24권6호
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    • pp.1497-1501
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    • 2013
  • Cumulative residual Kullback-Leibler (CRKL) information is well defined on the empirical distribution function (EDF) and allows us to construct a EDF-based goodness of t test statistic. However, we need to consider a scaled CRKL because CRKL is not scale invariant. In this paper, we consider several criterions for estimating the scale parameter in the scale CRKL and compare the performances of the estimated CRKL in terms of both power and unbiasedness.

The Estimation of MRLF for Whole Line on LTRC Model

  • Shin, Im-Hee
    • Journal of the Korean Data and Information Science Society
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    • 제10권1호
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    • pp.47-56
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    • 1999
  • In this paper, for whole line ($0,\;{\infty}$), the estimation procedure of mean residual life function using product-limit estimator is studied with asymptotic properties. And also, the small sample properties of proposed estimator of MRLF are investigated through Monte Carlo study and compared with Kaplan-Meier type estimator.

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A mathematical model to predict fatigue notch factor of butt joints

  • Nguyen, Ninh T.;Wahab, M.A.
    • Structural Engineering and Mechanics
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    • 제6권4호
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    • pp.467-471
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    • 1998
  • A mathematical model is developed to predict the fatigue notch factor of butt welds subject to number of parameters such as weld geometry, residual stresses under dynamic combined loading conditions (tensile and bending). Linear elastic fracture mechanics, finite element analysis, dimensional analysis and superposition approaches are used for the modelling. The predicted results are in good agreement with the available experimental data. As a result, scatters of the fatigue data can be significantly reduced by plotting S-N curve as ($S{\cdot}K_f$) vs. N.

Somoothing Mean Residual Life with Censored Data

  • Dong-Myung Jeong;Myung-Unn Song;Jae-Kee Song
    • Communications for Statistical Applications and Methods
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    • 제3권2호
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    • pp.129-138
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    • 1996
  • We propose a smoothing estimator of mean residual life function based on Ghorai and Susarla's (1990) smooth estimator of distribution function under random censorship model and provide the asymptotic properties of this estimator. The Monte Carlo simulation is performed to compare the proposed estimator with the other estimators and an exmple is also given using the real data.

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Data Visualization using Linear and Non-linear Dimensionality Reduction Methods

  • Kim, Junsuk;Youn, Joosang
    • 한국컴퓨터정보학회논문지
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    • 제23권12호
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    • pp.21-26
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    • 2018
  • As the large amount of data can be efficiently stored, the methods extracting meaningful features from big data has become important. Especially, the techniques of converting high- to low-dimensional data are crucial for the 'Data visualization'. In this study, principal component analysis (PCA; linear dimensionality reduction technique) and Isomap (non-linear dimensionality reduction technique) are introduced and applied to neural big data obtained by the functional magnetic resonance imaging (fMRI). First, we investigate how much the physical properties of stimuli are maintained after the dimensionality reduction processes. We moreover compared the amount of residual variance to quantitatively compare the amount of information that was not explained. As result, the dimensionality reduction using Isomap contains more information than the principal component analysis. Our results demonstrate that it is necessary to consider not only linear but also nonlinear characteristics in the big data analysis.

CCD 잔존영상 분석 (A STUDY OF RESIDUAL IMAGE IN CHARGED-COUPLED DEVICE)

  • 진호;이충욱;김승리;강용범;구재림;한원용
    • Journal of Astronomy and Space Sciences
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    • 제22권4호
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    • pp.483-490
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    • 2005
  • CCD 영상센서의 경우 포화 상태를 초과하는 막대한 양의 광자가 조사될 때 $Si-SiO_2$ 접합 면에서 전하가 포획될 순 있으며 이 접합 면에 남아 있는 전하와 관련되어 잔존영상이 보일 수 있다. 이러한 잔존영상은 특히 전면조사 방식의 CCD에서 일어난다. 이 현상이 정밀 측광에 영향을 줄 수 있음에도 불구하고 잔존영상에 대한 정량적인 분석과 보고간 국내에서는 찾아보기 힘들었다. 이에 본 연구에서는 전면조사 방식의 CCD를 사용하는 레몬산천문대 관측자료의 암전자화면에서 잔존영상을 확인하고 잔존영상이 관측에 미칠 수 있는 영향을 분석해 보았다.