• Title/Summary/Keyword: Statistical Technique

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Applications of Geostatistics to the Quantitative Analysis of Genetic Instability in Carcinogenesis

  • Kim Hyoung-Moon
    • Communications for Statistical Applications and Methods
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    • 제13권1호
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    • pp.167-175
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    • 2006
  • It has long been recognized that cancer is a genetic disease. To find this measures of genetic instability, stain cells with chromosome specific probes using chromosome in-situ hybridization technique is adopted. Even though in-situ hybridization technique is powerful, truncation of nuclei often results in under-representation of chromosome copies in slides due to the sectioning of tissue blocks. Because of this problem we suggest three different methods to analyze the cervical cancer data set. We observe that genetic instability is an increasing function of histology and our suggested model is the best in detecting genetic instability of tumorigenesis processes.

Kernel Inference on the Inverse Weibull Distribution

  • Maswadah, M.
    • Communications for Statistical Applications and Methods
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    • 제13권3호
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    • pp.503-512
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    • 2006
  • In this paper, the Inverse Weibull distribution parameters have been estimated using a new estimation technique based on the non-parametric kernel density function that introduced as an alternative and reliable technique for estimation in life testing models. This technique will require bootstrapping from a set of sample observations for constructing the density functions of pivotal quantities and thus the confidence intervals for the distribution parameters. The performances of this technique have been studied comparing to the conditional inference on the basis of the mean lengths and the covering percentage of the confidence intervals, via Monte Carlo simulations. The simulation results indicated the robustness of the proposed method that yield reasonably accurate inferences even with fewer bootstrap replications and it is easy to be used than the conditional approach. Finally, a numerical example is given to illustrate the densities and the inferential methods developed in this paper.

데이터 보강을 위한 데이터 통합기법에 관한 연구 (A Study on the Data Fusion for Data Enrichment)

  • 정성석;김순영;김현진
    • 응용통계연구
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    • 제17권3호
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    • pp.605-617
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    • 2004
  • 데이터마이닝에서 가장 중요한 요소 중 하나는 마이닝에 사용될 데이터의 질이다. 질 높은 데이터를 바탕으로 마이닝이 수행될 때, 데이터마이닝의 잠재적 가치는 증대될 것이다. 본 논문에서는 지식발견 과정 중 데이터의 질을 향상시키기 위한 한 단계인 데이터 보강을 위해 데이터 통합 기법을 제안하고, 모의실험을 통해 제안된 알고리즘의 효율성을 비교하였다. 실험결과 제안된 알고리즘이 데이터 통합의 성능을 향상시킴을 알 수 있었다.

Support Vector Machine for Linear Regression

  • Hwang, Changha;Seok, Kyungha
    • Communications for Statistical Applications and Methods
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    • 제6권2호
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    • pp.337-344
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    • 1999
  • Support vector machine(SVM) is a new and very promising regression and classification technique developed by Vapnik and his group at AT&T Bell laboratories. This article provides a brief overview of SVM focusing on linear regression. We explain from statistical point of view why SVM might be attractive and how this could be compared with other linear regression techniques. Furthermore. we explain model selection based on VC-theory.

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Canonical Correlation Biplot

  • Park, Mi-Ra;Huh, Myung-Hoe
    • Communications for Statistical Applications and Methods
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    • 제3권1호
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    • pp.11-19
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    • 1996
  • Canonical correlation analysis is a multivariate technique for identifying and quantifying the statistical relationship between two sets of variables. Like most multivariate techniques, the main objective of canonical correlation analysis is to reduce the dimensionality of the dataset. It would be particularly useful if high dimensional data can be represented in a low dimensional space. In this study, we will construct statistical graphs for paired sets of multivariate data. Specifically, plots of the observations as well as the variables are proposed. We discuss the geometric interpretation and goodness-of-fit of the proposed plots. We also provide a numerical example.

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매립물 특성 조사를 위한 다변량 통계분석 기법의 응용 (Application of Multivariate Statistical Analysis Technique in Landfill Investigation)

  • 권병두;김차섭
    • 한국지구과학회지
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    • 제18권6호
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    • pp.515-521
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    • 1997
  • 난지도 매립장 매립물의 특성을 조사하기 위해서 중력, 자력, LandSat TM 열적외선 밴드 자료, 매립장의 표면에서 측정한 침하량 자료 등을 다변량 통계분석기법을 응용하여 분석하였다. 분석에 이용한 자료들은 각기 상이한 깊이에 관한 정보를 제공하기 때문에 측정된 총 자력자료와 중력자료는 자극화변환된 자력이상과 매립장의 3차원 밀도분포로 각기 전환하였으며, 본 연구에서는 이 중 매립장의 상부층에 관한 정보를 이용하였다. 통계분석은 침하량 측정 지점들을 대상으로 수행하였으며, 이들 지점에서의 자극화변환 자력이상, 매립물의 밀도, LandSat TM 열적외선 밴드 값들은 내삽방법을 이용하여 구하였다. 자료분석에 사용한 다변량 통계분석 기법은 개체간의 기하학적인 거리를 이용하여 군집화하는 집락분석으로, 개체간의 거리 계산시 각 자료간의 상이한 측정단위가 주는 효과를 제거하기 위해서 사전에 표준화를 실시하였다. 군집화는 체계적 군집화 방법을 이용하여 수행하였다. 물리적 특성을 바탕으로 분류된 최적의 군집수는 수상도에서 나타난 결과에 따르면 총 6개의 군집으로 나타났다. 본 연구의 결과는 통합된 지구물리자료에 다변량 통계분석 기법을 적용함으로써 복합적 인 쓰레기 매립장의 특성 규명이 가능함을 시사한다.

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GIS와 공간통계기법을 활용한 도시쇠퇴 특성 분석 - 광주광역시를 중심으로 - (Analysis on the Characteristics of Urban Decline Using GIS and Spatial Statistical Method : The Case of Gwangju Metropolitan City)

  • 장문현
    • 한국지역지리학회지
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    • 제22권2호
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    • pp.424-438
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    • 2016
  • 도시쇠퇴와 공동화 현상을 방지하고 침체된 지역경제를 활성화시키기 위한 새로운 도시재생 패러다임이 등장하고 있다. 본 연구는 도시재생특별법에 제시된 쇠퇴기준과 공간자기상관 탐색을 기반으로 GIS 및 공간통계기법을 활용하여 도시쇠퇴 특성을 분석하는데 그 목적을 두고 있다. 광주광역시를 대상으로 하여 도시재생특별법에 제시된 쇠퇴 기준인 인구감소, 사업체감소, 노후건축물에 관한 지표를 적용함으로써 객관성을 확보하고자 하였다. 특히 GIS와 공간 통계기법을 적용함에 있어서 공간자기상관 탐색을 통해 도시쇠퇴 특성을 분석한다는 점에서 기존의 연구와 차별성을 지닌다. 전체적인 분석과정은 도시활성화지역 지정 기준을 원용하고, 공간탐색적 절차에 따라 단계적으로 추진하였다. 따라서 본 연구를 통해 제시된 공간통계분석 절차 및 도시쇠퇴 특성 분석의 결과는 대도시권 수준에서 도시쇠퇴 진단에 기여하고, 도시재생과 관련한 공간의사결정에 유용한 정보를 제공할 것으로 기대한다.

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고도처리 효율 향상을 위한 통계적 접근 (Improvement of Operating Efficiency on Advanced Wastewater Plant Using Statistical Approach)

  • 문경숙;민경섭;김승민;이찬형
    • 한국환경과학회지
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    • 제17권4호
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    • pp.405-412
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    • 2008
  • Statistical analysis technique was applied to operating parameters and removal efficiency data sets obtained from advanced wastewater treatment plant during 1 year. Through factor analysis three factors derived varimax rotation were selected each plant. Three components explained 96%, 87% of the total variance of the process, respectively. The components on $A_2O$ Plant were identified in the following order : 1) Shortening the SRT during high-flow period, 2) Keeping biomass high on winter 3) factor was related to DO. On DNR plant, we defined them as follows: factor 1, Prolonged the SRT during high-flow period; factor 2 was related to sludge return; factor 3, Influent BOD during low-DO period. This technique was believed to assist operators in identifying priorities to improve operation efficiency.

자동색인의 통계적기법과 한국어 문헌의 실험 (Statistical Techniques for Automatic Indexing and Some Experiments with Korean Documents)

  • 정영미;이태영
    • 한국문헌정보학회지
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    • 제9권
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    • pp.99-118
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    • 1982
  • This paper first reviews various techniques proposed for automatic indexing with special emphasis placed on statistical techniques. Frequency-based statistical techniques are categorized into the following three approaches for further investigation on the basis of index term selection criteria: term frequency approach, document frequency approach, and probabilistic approach. In the experimental part of this study, Pao's technique based on the Goffman's transition region formula and Harter's 2-Poisson distribution model with a measure of the potential effectiveness of index term were tested. Experimental document collection consists of 30 agriculture-related documents written in Korean. Pao's technique did not yield good result presumably due to the difference in word usage between Korean and English. However, Harter's model holds some promise for Korean document indexing because the evaluation result from this experiment was similar to that of the Harter's.

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통계적 분석법을 활용한 도로용 원더링 장비개발 (Development of Portable Wandering Device using Statistical Analysis)

  • 김낙석;박창우;박현식;김주열
    • 한국재난정보학회 논문집
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    • 제3권1호
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    • pp.5-20
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    • 2007
  • The role of a pavement means a social axis for the future as well as a function of road itself. To achieve its intended purposes, the maintenance technique of the pavement performance should be improved. For this, pavement investigators have dealt with the simulated pavement sites under actual environmental conditions. One of them is wandering device to improve the maintenance system of a pavement. The primary purpose of this research is to develop a portable wandering device using statistical analysis technique. It is noted that the new device using laser sensor demonstrates better field applications and reliability compare to the conventional one.

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