• 제목/요약/키워드: grouped data

검색결과 825건 처리시간 0.031초

간호 대학생의 기본 간호 실습 경험에 대한 연구 (A Study on the Experience of Fundamental Nursing Practice)

  • 한경순;조주연
    • 대한간호학회지
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    • 제29권2호
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    • pp.293-303
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    • 1999
  • The purpose of this study was to understand and to explain how were nursing students experienced and accepted the fundemental nursing practice. In addition to, the results of this study are attempted to contribute for offer of basic data in projecting and accomplishing to promote quality practice education. The participants were 79 freshmen of S College of Nursing in kyungi-do. They presented record of feeling and thinking on their the fundemental nursing practice experience. The data were collected from 29, J une to 10, July in 1998. Collected data was analyzed by means of Van Kaam's phenomenological method. The results of this study was founded 423 descriptive expression and they were grouped under 42 common factors and they were grouped under 9 categories. By means of the frequency on the categories. the higher category is Anxiety. next Solemn. Flutter. Pride. Usefulness, Recognition of reality in nursing-system. Lack of practice environment. Self-accusation. Comprehension of nursing spirit were founded. 5 common factors. Tension. Difficulty, Dread. Apprehension, Burden were grouped under Anxiety. 7 common factors, Pledge, Memory, Importance of practice, Sincerity, Restriction of dress, Acceptance, Active attitude were grouped under solemn. 5 common factors, Interest, Strange, Beanimated, Waiting, Curiosity were grouped under Flutter. 5 common factors, Conceit, Self-confidence, Skilled, Worth, Accomplishment were grouped under Pride. 6 common factors, Acknowledge of nursing affairs, Expectation of furture, Fascination of nursing. Acquirement of disposition of nurse, Association of injection, Actual feeling of dept. of nursing were grouped under Recognition of reality in nursing-system. 4 common factors, Lack of practice time, Many persons of practice, Lack of practice instrument, Lack of reality were grouped under Lack of practice envirnment. 5 common factors, Inconvenient, Reflection, Loss of pride, Shyness, Feeling sorry were grouped under Self-accusation. 3 common factors, Utility, Connection of practice and theory, Various experience were grouped under Usefulness. 2 common factors, Comprehension on the dignity of human, Comprehension on a point of view of patient were grouped under Comprehension of nursing spirit. In conclusion, the following recommendation should be necessary a supplementary study to approach on the type of students that has a firm view and care about client prior to clinical nursing practice.

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Nonparametric Tests for Grouped K-Sample Problem

  • Park, Hyo-Il
    • Communications for Statistical Applications and Methods
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    • 제13권2호
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    • pp.409-418
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    • 2006
  • We propose a nonparametric test procedure for the K-sample problem with grouped data. We construct the test statistics using the scores derived for the linear model based on likelihood ratio principle and obtain asymptotic distribution. Also we illustrate our procedure with an example. Finally we discuss some concluding remarks.

A Comparison Study of the Test for Right Censored and Grouped Data

  • Park, Hyo-Il
    • Communications for Statistical Applications and Methods
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    • 제22권4호
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    • pp.313-320
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    • 2015
  • In this research, we compare the efficiency of two test procedures proposed by Prentice and Gloeckler (1978) and Park and Hong (2009) for grouped data with possible right censored observations. Both test statistics were derived using the likelihood ratio principle, but under different semi-parametric models. We review the two statistics with asymptotic normality and consider obtaining empirical powers through a simulation study. The simulation study considers two types of models the location translation model and the scale model. We discuss some interesting features related to the grouped data and obtain null distribution functions with a re-sampling method. Finally we indicate topics for future research.

In Silico Analysis of Lactic Acid Secretion Metabolism through the Top-down Approach: Effect of Grouping in Enzyme kinetics

  • Jin, Jong-Hwa;Lee, Jin-Won
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제10권5호
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    • pp.462-469
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    • 2005
  • A top-down approach is known to be a useful and effective technique for the design and analysis of metabolic systems. In this Study, we have constructed a grouped metabolic network for Lactococcus lactis under aerobic conditions using grouped enzyme kinetics. To test the usefulness of grouping work, a non-grouped system and grouped systems were compared quantitatively with each other. Here, grouped Systems were designed as two groups according to the extent of grouping. The overall simulated flux values in grouped and non-grouped models had pretty similar distribution trends, but the details on flux ratio at the pyruvate branch point showed a little difference. This result indicates that our grouping technique can be used as a good model for complicated metabolic networks, however, for detailed analysis of metabolic network, a more robust mechanism Should be considered. In addition to the data for the pyruvate branch point analysis, Some major flux control coefficients were obtained in this research.

변형된 캐스케이드-상관 학습 알고리즘을 적용한 그룹 고장 데이터의 소프트웨어 신뢰도 예측 (Software Reliability Prediction of Grouped Failure Data Using Variant Models of Cascade-Correlation Learning Algorithm)

  • 이상운;박중양
    • 정보처리학회논문지D
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    • 제8D권4호
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    • pp.387-392
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    • 2001
  • 많은 소프트웨어 프로젝트는 시험이나 운영단계에서 고장시간이나 고장 수 데이타보다 그룹 고장 데이터(여러 고장 간격에서 또는 가변적인 시간 간격에서의 고장들)가 수집된다. 본 논문은 그룹 고장 데이터에 대해 가변적인 미래의 시간에서 누적 고장 수를 예측할 수 있는 신경망 모델을 제시한다. 2개의 변형된 캐스케이드-상관 학습 알고리즘을 제안하였다. 제안된 신경망 모델들은 다른 잘 알려진 신경망 모델과 통계적 소프트웨어 신뢰도 성장 모델과 비교되었다. 실험결과, 그룹 데이터에 대해 변형된 캐스케이드-상관 학습 알고리즘이 좋은 예측 결과를 나타내었다.

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Jackknife Estimation for Mean in Exponential Model with Grouped and Censored Data

  • Kil Ho Cho;Yong Ku Kim;Seong Kwa Jeong
    • Communications for Statistical Applications and Methods
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    • 제5권3호
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    • pp.869-878
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    • 1998
  • In this paper, we propose some jackknife estimators for mean in the exponential model with grouped and censored data. Also, we compare the proposed jackknife estimators to other approximate estimators in terms of the mean square error and bias.

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Multivariate Nonparametric Tests for Grouped and Right Censored Data

  • Park Hyo-Il;Na Jong-Hwa;Hong Seungman
    • International Journal of Reliability and Applications
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    • 제6권1호
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    • pp.53-64
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    • 2005
  • In this paper, we propose a nonparametric test procedure for the multivariate, grouped and right censored data for two sample problem. For the construction of the test statistic, we use the linear rank statistics for each component and apply the permutation principle for obtaining the null distribution. For the large sample case, the asymptotic distribution is derived under the null hypothesis with the additional assumption that two censoring distributions are also equal. Finally, we illustrate our procedure with an example and discuss some concluding remarks. In appendices, we derive the expression of the covariance matrix and prove the asymptotic distribution.

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Some nonparametric test procedure for the multi-sample case

  • Park, Hyo-Il;Kim, Ju-Sung
    • Journal of the Korean Data and Information Science Society
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    • 제20권1호
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    • pp.237-250
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    • 2009
  • We consider a nonparametric test procedure for the multi-sample problem with grouped data. We construct the test statistics based on the scores obtained from the likelihood ratio principle and derive the limiting distribution under the null hypothesis. Also we illustrate our procedure with an example and obtain the asymptotic properties under the Pitman translation alternatives. Also we discuss some concluding remarks. Finally we derive the covariance between components in the Appendix.

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그룹화된 폭소노미 구축을 위한 프레임워크와 지원도구의 개발 (An development of framework and a supporting tool for organizing Grouped Folksonomy)

  • 강유경;황석형
    • 한국컴퓨터정보학회논문지
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    • 제16권5호
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    • pp.109-125
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    • 2011
  • 폭소노미는 웹에 존재하는 리소스에 대해 구성원이 자유롭게 선택한 태그를 붙여서 정보를 체계화하는 새로운 분류 체계이다. Del.icio.us, Flickr, YouTube 등과 같은 최근의 폭소노미 기반 협력 태깅 시스템들을 살펴보면, 폭소노미 데이터를 체계화하고 유용한 서비스를 제공하기 위해 폭소노미의 각 구성요소들(사용자들, 태그들, 리소스들)을 그룹핑하기 위한 기능들을 추가하고 있다. 본 논문에서는, 일반적인 폭소노미에 "그룹(Group)"이라는 개념을 도입하여 확장한 그룹화된 폭소노미(Grouped Folksonomy) 모델과 그룹핑 관련 기본 연산들(Group Aggregation, Group Composition, Group Intersection, Group Difference)을 제안한다. 또한, 본 논문에서는 그룹화된 폭소노미의 구축과 기본연산 수행을 지원하는 도구(GFO)의 개발과 활용사례를 소개한다. 본 연구에서 제안된 모델과 기본 연산들로 구성된 그룹화된 폭소노미 구축을 위한 프레임워크는 폭소노미의 각 구성요소들을 그룹핑하여 그룹화된 폭소노미를 구성하고 보다 유용한 정보들을 추출 및 통합하여 체계화 할 수 있는 토대를 제공한다.

집단화된 통계자료의 도수다각형에 근거한 새로운 분위수 계산법 (A new method for calculating quantiles of grouped data based on the frequency polygon)

  • 김혁주
    • Journal of the Korean Data and Information Science Society
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    • 제28권2호
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    • pp.383-393
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    • 2017
  • 집단화되어 있는 통계자료의 통계량을 구하고자 하는 경우 통계량의 참값에 보다 가까운 값을 얻게 해주는 계산 방법을 사용하는 것이 바람직하다. 본 논문에서는 집단화된 자료의 분위수들을 계산하는 새로운 방법을 제시하였다. 제시된 방법의 주된 아이디어는, 히스토그램에 따라 그려지는 도수다각형에서 각 계급구간에 대응하는 오각형의 넓이를 그 계급구간의 도수보다 하나 많은 개수의 부분으로 등분함으로써 자룟값들을 계산하는 것이다. 제시된 방법을 모의실험을 통해 기존의 방법들과 비교하였는데, 통계학개론 교재에 주어져 있는 몇 가지의 자료를 대상으로 하였다. 모의자료의 생성 방법은, 각 계급구간에서 도수다각형에 의해 주어진 모양의 확률밀도함수를 갖는 분포를 찾아낸 뒤 역변환 방법을 이용하여, 이 분포를 따르는 모의자룟값들을 각 계급구간에서 주어진 도수와 같은 개수만큼 발생시키는 방식이다. 모의자료의 분위수와의 차의 제곱합을 기준으로 할 때 제시된 방법이 기존의 방법들보다 거의 모든 사분위수와 십분위수에서 우세한 결과를 주는 것을 볼 수 있었다.