• 응용통계연구
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• 제25권1호
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• pp.139-152
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• 2012

집단 약동학 모형 추정의 결과는 환자에게 투약학 약물의 용량결정에 직접적 영향을 미치므로 추정 모형에 대한 타당도와 적합도의 검증이 중요하다. 본 논문에서는 다양한 집단 약동학 모형 적합도 검증을 위한 방법들을 비교, 분석하고 실제 임상자료를 이용하여 최적의 집단 약동학 모형을 찾고 이에 대하여 다양한 타당도, 적합도 검정을 실시하여 모형을 진단해 본다.

• Communications for Statistical Applications and Methods
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• 제18권2호
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• pp.257-266
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• 2011

The rapid development of airlines, has made airports busier and more complicated. The assignment of scheduled to available gates is a major issue for daily airline operations. We consider the over-constrained airport gate assignment problem(AGAP) where the number of flights exceeds the number of available gates, and where the objectives are to minimize the number of ungated flights and the total walking distance or connection times. The procedures used in this project are to create a mathematical model formulation to identify decision variables to identify, constraints and objective functions. In addition, we will consider in the AGAP the size of each gate in the terminal and also the towing process for the aircraft. We will use a greedy algorithm to solve the problem. The greedy algorithm minimizes ungated flights while providing initial feasible solutions that allow flexibility in seeking good solutions, especially in case when flight schedules are dense in time. Experiments conducts give good results.

• Communications for Statistical Applications and Methods
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• 제18권2호
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• pp.179-187
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• 2011

제 1상 입상시험의 주된 목적은 신약의 최대허용용량(Maximum tolerated dose; MTD)의 추정이다. 본 논문에서는 실험으로 얻어진 Dose-toxicity data를 S자 모형에 적합 시켜 MTD를 추정하는 방법을 제안하였다. 멈춤 규칙(stopping rule)에 의해 MTD가 결정되는 방법과 미리 정해진 표본수에서 실험을 종료하고 MTD를 추정하는 기존의 추정방법을 본 논문에서 제안한 방법과 모의실험을 통하여 비교하였다.

• Communications for Statistical Applications and Methods
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• 제16권6호
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• pp.1031-1036
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• 2009

Under recent dramatic declines in response rates, various procedures have been considered among survey practitioners to reduce nonresponse in order to avoid its potential impairment to the inference. In the random digit dialing telephone surveys, substantial efforts are often required to obtain the initial contact for the screener interview. To reduce a burden with higher data collection costs, refusal conversion can be administered only to a random portion of the sample, reducing nonresponse (bias) with an expense of sample variability increment due to the associated weight adjustment. In this paper, we provide ways to determine the optimal subsampling rate using a linear cost model. Our approach for refusal subsampling is to predetermine a random portion from the full sample and to apply refusal conversion efforts if needed only to the subsample.

• Journal of the Korean Statistical Society
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• 제36권4호
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• pp.457-469
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• 2007

Many procedures are available to identify a single outlier or an isolated influential point in linear regression and logistic regression. But the detection of influential points or multiple outliers is more difficult, owing to masking and swamping problems. The multiple outlier detection methods for logistic regression have not been studied from the points of direct procedure yet. In this paper we consider the direct methods for logistic regression by extending the $Pe\tilde{n}a$ and Yohai (1995) influence matrix algorithm. We define the influence matrix in logistic regression by using Cook's distance in logistic regression, and test multiple outliers by using the mean shift model. To show accuracy of the proposed multiple outlier detection algorithm, we simulate artificial data including multiple outliers with masking and swamping.

• Communications for Statistical Applications and Methods
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• 제22권2호
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• pp.173-180
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• 2015

We propose a selection procedure of principal components in principal component regression. Our method selects principal components using variable selection procedures instead of a small subset of major principal components in principal component regression. Our procedure consists of two steps to improve estimation and prediction. First, we reduce the number of principal components using the conventional principal component regression to yield the set of candidate principal components and then select principal components among the candidate set using sparse regression techniques. The performance of our proposals is demonstrated numerically and compared with the typical dimension reduction approaches (including principal component regression and partial least square regression) using synthetic and real datasets.

• 정보관리연구
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• 제28권2호
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• pp.54-70
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• 1997

국내 최대 문헌복사기관인 산업기술정보원의 문헌복사이용에 관한 통계를 기반으로 KINITI의 문헌복사활동현황과 국내 이용자들의 문헌복사 이용형태를 조사하였다. 1996년도 이용통계를 중심으로 문헌복사 처리건수, 이용자의 신청방법, 제공방법, 불능건수, 문헌처리일수, 연간물 이용빈도별 문헌순위 등을 통계적으로 산출하여 설명하였다. 1996년말 현재 문헌신청건수는 456,829건으로 전년도 대비(446,065건) 2.4% 증가하였다.

• 한국철도학회논문집
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• 제9권1호
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• pp.81-88
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• 2006

The purpose of this study is to verify the dimensions of service quality of Korea Train Express(KTX) and to compare the service quality of KTX with that of general train. The researcher consisted of initial 32 items representing eight-dimension and analyzed the final quality dimensions of KTX. The collected data of passenger of 226 was analyzed by statistical procedures such as the iterative sequence of computing Cronbach's a, corrected item-to total correlations, and factor analyses. Through the repeated statistical process to puritY the items, a final set of 26 items representing six district dimensions; tangibles, timely responsiveness, empathy, comfort, information access and safety. The Results of independent samples t-test showed that the mean scores of all the service quality dimensions of KTX except for comfort were higher than those of general train. This finding will provide the more appropriate instrument to measure the KTX service quality as well as to improve the passengers' perception of the service quality.

• 한국수자원학회논문집
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• 제36권2호
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• pp.251-261
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• 2003

여러 가지 토양수분의 예측인자에 대한 해상도 문제를 고찰하였다. 다양한 인자에 대한 민감도는 통계적인 분석을 기반으로 논의되었다. 수치지형모형에서 세 가지 흐름 결정 알고리즘의 해상도에 대한 통계적인 분석이 수행되었다. 단방향 흐름알고리즘으로 계산한 상부사면 기여면적은 다른 두 알고리즘(다방향 알고리즘, DEMON)보다 더욱 민감한 것으로 나타났다. 습윤지수의 경우는 해상도나 계산과정의 변화에 상대적으로 민감도가 미소한 것으로 나타났다.

• Nuclear Medicine and Molecular Imaging
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• 제41권2호
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• pp.71-77
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• 2007

Advance of neuroimaging technique has greatly influenced recent brain research field. Among various neuroimaging modalities, positron emission tomography has played a key role in molecular neuroimaging though functional MRI has taken over its role in the cognitive neuroscience. As the analysis technique for PET data is more sophisticated, the complexity of the method is more increasing. Despite the wide usage of the neuroimaging techniques, the assumption and limitation of procedures have not often been dealt with for the clinician and researchers, which might be critical for reliability and interpretation of the results. In the current paper, steps of voxel-based statistical analysis of PET including preprocessing, intensity normalization, spatial normalization, and partial volume correction will be revisited in terms of the principles and limitations. Additionally, new image analysis techniques such as surface-based PET analysis, correlational analysis and multimodal imaging by combining PET and DTI, PET and TMS or EEG will also be discussed.