• 제목/요약/키워드: variable selections

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Unified methods for variable selection and outlier detection in a linear regression

  • Seo, Han Son
    • Communications for Statistical Applications and Methods
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    • 제26권6호
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    • pp.575-582
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    • 2019
  • The problem of selecting variables in the presence of outliers is considered. Variable selection and outlier detection are not separable problems because each observation affects the fitted regression equation differently and has a different influence on each variable. We suggest a simultaneous method for variable selection and outlier detection in a linear regression model. The suggested procedure uses a sequential method to detect outliers and uses all possible subset regressions for model selections. A simplified version of the procedure is also proposed to reduce the computational burden. The procedures are compared to other variable selection methods using real data sets known to contain outliers. Examples show that the proposed procedures are effective and superior to robust algorithms in selecting the best model.

HIGH SPEED VARIABLE SQUARE WAVE AC SUBMERGED ARC WELDING -FREQUENCY/BALANCE STUDY .250″ PLAIN CARBON STEEL

  • Reynolds, Jon-O;Sean P. Moran
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2002년도 Proceedings of the International Welding/Joining Conference-Korea
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    • pp.361-365
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    • 2002
  • Advancements in silicon phase control (SCR) technologies provide an arc welding power supply that has the capability to allow the alteration of the Alternating Current (AC) welding output. These technologies provide a square wave output involving sixteen frequency selections and multiple balance selections. While an AC out put is known to minimize magnetic disturbances associate with Direct Current (DC), the potentials of a non-sinusoidal waveform have not been explored. The focus of the paper is to determine the effects that the frequency and balance of an AC wave form output will have upon a high speed Submerge Arc (SAW) application. The test matrix of the project includes welding .250" steel plate. Joint type is square groove with a travel speed of 65 IPM. Each of the weld parameters was held constant, only the frequency and/or balance were altered between welds. Each frequency/balance combination involved three-gap spacing. Upon completion of the welds the bead profiles were measured and recorded. A relationships/trends were observed with various frequency and balance values. Optimum frequency and balance values were found for the .250" square groove application which permit consistent weld sizing, ease of slag removal, and minimal plate distortion.

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QSO Selections Using Time Variability and Machine Learning

  • 김대원;;변용익
    • 천문학회보
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    • 제36권2호
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    • pp.64-64
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    • 2011
  • We present a new quasi-stellar object (QSO) selection algorithm using a Support Vector Machine, a supervised classification method, on a set of extracted time series features including period, amplitude, color, and autocorrelation value. We train a model that separates QSOs from variable stars, non-variable stars, and microlensing events using 58 known QSOs, 1629 variable stars, and 4288 non-variables in the MAssive Compact Halo Object (MACHO) database as a training set. To estimate the efficiency and the accuracy of the model, we perform a cross-validation test using the training set. The test shows that the model correctly identifies ~80% of known QSOs with a 25% false-positive rate. The majority of the false positives are Be stars. We applied the trained model to the MACHO Large Magellanic Cloud (LMC) data set, which consists of 40 million lightcurves, and found 1620 QSO candidates. During the selection, none of the 33,242 known MACHO variables were misclassified as QSO candidates. In order to estimate the true false-positive rate, we crossmatched the candidates with astronomical catalogs including the Spitzer Surveying the Agents of a Galaxy's Evolution (SAGE) LMC catalog and a few X-ray catalogs. The results further suggest that the majority of the candidates, more than 70%, are QSOs.

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Adaptive lasso를 이용한 희박벡터자기회귀모형에서의 변수 선택 (Adaptive lasso in sparse vector autoregressive models)

  • 이슬기;백창룡
    • 응용통계연구
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    • 제29권1호
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    • pp.27-39
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    • 2016
  • 본 논문은 다차원의 시계열 자료 분석에서 효율적인 희박벡터자기회귀모형에서의 모수 추정에 대해서 연구한다. 희박벡터자기회귀모형은 영에 가까운 계수를 정확이 영으로 둠으로써 희박성을 확보한다. 따라서 변수 선택과 모수 추정을 한꺼번에 할 수 있는 lasso를 이용한 방법론을 희박벡터자기회귀모형의 추정에 쓸 수 있다. 하지만 Davis 등(2015)에서는 모의실험을 통해 일반적인 lasso의 경우 영이아닌 계수를 참값보다 훨씬 더 많이 찾아 희박성에 약점이 있음을 보고하였다. 이에 따라 본 연구는 희박벡터자기회귀모형에 adaptive lasso를 이용하면 일반 lasso보다 희박성을 비롯한 전반적인 모수의 추정이 매우 유의하게 개선됨을 보인다. 또한 adaptive lasso에서 쓰이는 튜닝 모수들에 대한 선택도 아울러 논의한다.

Switching properties of CUSUM charts for controlling mean vector

  • Chang, Duk-Joon;Heo, Sun-Yeong
    • Journal of the Korean Data and Information Science Society
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    • 제23권4호
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    • pp.859-866
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    • 2012
  • Some switching properties of multivariate control charts are investigated when the interval between two consecutive sample selections is not fixed but changes according to the result of the previous sample observation. Many articles showed that the performances of variable sampling interval control charts are more efficient than those of fixed sampling interval control charts in terms of average run length (ARL) and average time to signal (ATS). Unfortunately, the ARL and the ATS do not provide any information on how frequent a switch is being made. We evaluate several switching properties of two sampling interval Shewhart and CUSUM procedures for controlling mean vector of correlated quality variables.

커피 전문점 만족도 및 고객 충성도에 미치는 요인에 관한 연구 (A Study on the Factors of Customer Satisfaction and Customer Loyalty in Coffee Houses)

  • 정영우
    • 한국조리학회지
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    • 제12권4호
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    • pp.1-17
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    • 2006
  • The purpose of this study was to find out the impact of a selection attribute on customer satisfaction and customer loyalty in the coffee house industry. Through the preceding research, author chose coffee quality, price value, interior and employee service quality as selection attributes as well as customer loyalty as intent to recommend and to revisit. For this study, data were collected from the pedestrians around Kangnam, Samsung, Seoul national university of education subway stations from July 12 to August 4, 2005. Questionnaires were distributed and, of 314 papers, only 300 were suitable for the statistical analysis. The findings of the research were as follows: First, four selections had an effect on customer satisfaction which influenced customer loyalty. Coffee quality was the most influential variable among the selection attributes, and came price value, and interior and employee service quality in that order. Second, intent to revisit was influenced directly by not only customer satisfaction but also intent to recommend. However, this study had such limitations that data used in this study were limited to relatively narrow area and four attributes were not enough to explain all situations of choosing coffee houses. Consequently, further studies are needed to include more variables and coffee houses' brand images.

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인구통계적 변인에 따른 부분색채화장 이미지지각과 선호도에 관한 연구 (A Study on Perception of Face Image of Point Make-up by demographic variables and preferences of the point make-up)

  • 이연희;양취경
    • 한국의류학회지
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    • 제26권3_4호
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    • pp.515-526
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    • 2002
  • The purpose of this study will find out the primary element of point make-up image perception, the point make-up image perception by point make-up trend and demographic variables such as sex and age. And this study will show the preferences of the point make-up. This study is based on the quasi-experimental study method with contents analysis method and experimental method. And content ana]isis is primarily based on the color trend and cosmetics colors which were suggested by a fashion magazine. Experiment was conducted by gathering opinions by poll, with the model wearing different make-ups and checking the typical reactions of people. To summarize, sex and age were found out to be influential variable to distinguish color perception abilities. This could verify that point make-up was important factor, influencing on the face image perception. also, face make-up effect could be maximized with Natural or common color groups rather than trend-oriented color group selections. And the polled preferred Natural color group with no point make-up or Classic color group to any other color group.

SLA를 이용한 신속 시작작업에서 최적 성형방향의 결정

  • 허정훈;이건우
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1995년도 춘계학술대회 논문집
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    • pp.552-558
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    • 1995
  • Stereolithography is a process used to rapidly produce polymer components directly from a computer-representation of the part. There are several considerations to be made for the efficient use of te process. Especially, the build-up orientation of part critically affect to the part accuracy, total build time and the volume of support structures. Te purpose of this study is to determine the optimal build-up part orientation for the SLA process with improving part accuracy, minimizing total build time, and the volume of supprot structures. The first factor is related to the area of surfaces which have staircase protrusions after solidification, the second factor is related to the total number of layers, and the third factor is related to the area of the surfaces which need to be supported with support structures. An algorithm is developed to calculate the staircase area with quantifying the process planning errors that the volume of materials is supposed to be removed or added to the part, and the optimal layer thickness for the SLA system whichcan hadle the variable layer thickness in different orientations achieved by rotating the given part to the specified finite directions. So the optimal part orientation is determined based on the user's selections of primary criterion and the optimal thickness of layers is calculated at any part orientations.

SLA를 이용한 신속 시작작업에서 최적 성형방향의 결정 (Determination of Optimal Build-up Direction for Stereolithographic Rapid Prototyping)

  • 허정훈;이건우
    • 한국정밀공학회지
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    • 제13권4호
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    • pp.163-173
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    • 1996
  • Stereolithography is a process used to rapidly produce polymer components directly form a computer representation of the part. There are several considerations to be made for the efficient use of the process. Especially, the build-up orientation of part critically affects the part accuracy, total build time and the volume of support structures. The purpose of tis study is to determine the optimal build-up part orientation for the SLA process with improving part accuracy, and minimizing total build time and the volume of support structures. The forst factor is related to the area of surfaces whioch have staircase protrusions after solidification, the second factor is related to the total number of layers, and the third factor is related to the area of the surfaces which need to be supported with support structures. An algorithm is developed to calculate the staircase area, quantifying the process errors by the volume of materials supposed to be removed or added to the part, and the optimal layer thickness for the SLA system which can handle the variable layer thickness. So the optima l part orientation is determined based on the user's selections of primary criter- ion and the optimal thickness of layers is calculated at any part orientations.

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구조동역학-열탄성학 연성문제의 유한요소 정식화 및 분류 (The Finite Element Formulation and Its Classification of Dynamic Thermoelastic Problems of Solids)

  • Yun, Seong-Ho
    • 한국전산구조공학회논문집
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    • 제13권1호
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    • pp.37-49
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    • 2000
  • 본 논문은 구조물의 동역학 및 열탄성 연성문제 해석을 위한 통합된 유한요소법을 개발하는데 초점을 두고있다. 첫째로, 열전도 방정식에 열변위라는 물리량을 도입하여 동역학의 운동 방정식과 유사하도록 유도한 후, 변분법과 일반좌표계를 이용하여 시간영역에서 정식화하였다. 둘째로, 두 방정식에 라플라스 변환을 동시에 도입하고, 공간변수만을 갖는 형상함수와 가중잔여법을 적용하여 유한요소식을 변환영역에서 표현하였다. 연성된 방정식을 문제의 특성에 따라서 분류하였고 정식화 과정을 검증하였다. 또한 수치해석 알고리듬이 갖는 수치 역 변환의 정성적인 경향에 대하여 검토하였다.

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