• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1209-1217
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• 2006

For the mixture of shifted Poisson distributions, a method of parameter estimation is proposed. The range of the shifted parameters are estimated first and for each shifted parameter set EM algorithm is applied to estimate the other parameters of the distribution. Among the estimated parameter sets, one with minimum likelihood for given data is to be set as the final estimate. In simulation experiments, the suggested estimation method shows to have a good performance.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제9권3호
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• pp.83-90
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• 2020

프로토타입 선택은 훈련 데이터로부터 클래스 영역을 대표하는 최소 데이터를 선택하여 낮은 학습 시간 및 저장 공간을 보장하는 장점을 제공한다. 본 논문은 모든 분류 알고리즘에 적용할 수 있는 초월 사각형을 이용한 새로운 훈련 데이터의 생성 방법을 설계한다. 초월 사각형 영역은 서로 다른 클래스 데이터를 포함하지 않으며 클래스 공간을 분할한다. 선택된 초월 사각형 내 데이터의 중간값은 프로토타입이 되어 새로운 훈련 데이터를 구성하고, 초월 사각형의 크기는 클래스 영역의 데이터 분포를 반영하여 조절된다. 전체 훈련 데이터를 대표하는 최소의 프로토타입 집합 선택을 위해 집합 덮개 최적화 알고리즘을 설계했다. 제안하는 방법에서는 탐욕 알고리즘과 곱셈 연산을 포함하지 않은 거리 계산식을 이용하여 집합 덮개 최적화 알고리즘의 다항 시간을 요구하는 시간 복잡도 문제를 해결한다. 실험에서는 분류 성능의 비교를 위해 최근접 이웃 규칙과 의사 결정 트리 알고리즘을 이용하며 제안하는 방법이 초월 구를 이용한 프로토타입 선택 방법보다 우수하다.

• Journal of the Korean Statistical Society
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• 제27권4호
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• pp.507-514
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• 1998

The minimum distance estimation based on the L$_2$ distance between a model density and a density estimator is studied from M-estimation point of view. We will show that how a model density and a density estimator are incorporated in order to create an M-estimation function. This method enables us to create an M-estimating function reflecting the natures of both an assumed model density and a given set of data. Some new types of M-estimation functions for estimating a location and scale parameters are introduced.

• 간호행정학회지
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• 제8권2호
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• pp.207-219
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• 2002

The purposes of this research were to: a) define the changing trends of DRGs in comparison to the National Data, b) define the changing trends of Nursing Diagnoses and Nursing Interventions for the 5 most frequently occurring Diagnostic Related Groups (DRGs) across 3 years, and c) define the relationships between nursing diagnoses and nursing Interventions for the 5 most frequently occurring DRGs across the 3 years. This study was a secondary data analysis of medical and nursing data based on the United States Nursing Minimum Data Set and the Uniform Hospital Discharge Data Set retrieved from a Midwestern USA medical center. The results showed interesting comparisons with national statistics as well as practice relevant trends within the nursing data. Additionally, the results showed the possibility that nursing data can be extracted from the medical data, so they can used in the nursing productivity and cost issues etc. In conclusion, this study supports the power of minimum data sets and nursing classifications to begin to describe a more global perspective the inter-relationships and trends of nursing data within the medical diagnosis context.

• 대한가정학회지
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• 제29권3호
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• pp.35-45
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• 1991

This study was to calculate the minimum food expenditure by using OR linear program, and to determine the food plans for different income values based on the recommenced dietary allowances(RDA) for Koreans. VAX 11/780 system was used in this study. There were 6 family models-single man, single woman, married couple, couple with one child, couple with 2 children and couple with 2 children & grandmother. The market price quoted in this study was from July 1989 to June 1990 and the data file was made from RDA & food composition tables. After the minimum food expenditure was calculated from the computer, the low cost food plan was set. From the low cost food plan, we set the moderate cost food plan 25% above the low cost and the liberal food plan 50% above the low cost. One week menu was planned for different food plans. The low cost food plan could be used not only at the institutional levels and at home but also used at the national food policy making for scientific budget planning and for nutritionally well balanced diet. These food plans could control the use of time and efforts, too.

• Restorative Dentistry and Endodontics
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• 제49권1호
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• pp.3.1-3.8
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• 2024

This article is a narrative review that discusses the recommended sample size requirements to design a pilot study to assess the reliability of a questionnaire. A list of various sample size tables that are based on the kappa agreement test, intra-class correlation test and Cronbach's alpha test has been compiled together. For all calculations, type I error (alpha) was set at a maximum value of 0.05, and power was set at a minimum value of 80.0%. For the kappa agreement test, intra-class correlation test, and Cronbach's alpha test, the recommended minimum sample size requirement based on the ideal effect sizes shall be at least 15, 22, and 24 subjects respectively. By making allowances for a non-response rate of 20.0%, a minimum sample size of 30 respondents will be sufficient to assess the reliability of the questionnaire. The clear guideline of minimum sample size requirement for the pilot study to assess the reliability of a questionnaire is discussed and this will ease researchers in preparation for the pilot study. This study provides justification for a minimum requirement of a sample size of 30 respondents specifically to test the reliability of a questionnaire.

• 가정과삶의질연구
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• 제15권4호
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• pp.137-148
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• 1997

The purpose of this study is to set the various cost-of-living standards utilizing a published national data. 1995 annual data, The Family Income and Expenditure Survey, were used to set the standards of living. Four index reflecting health and decency level, normal level, minimum of health and decency level, and pauper level were suggested and the cost-of-living of each level were estimated. Results showed that cost-of-living estimated in this study were not quite different from those of former studies, but the name of the standard-of-living need to be changed.

• 설비공학논문집
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• 제22권11호
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• pp.798-804
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• 2010

New methodology is proposed to predict the hourly cooling load of the next day using maximum/minimum temperature and building area. The maximum and minimum temperature are obtained from forecasted weather data. The cooling load parameters related to building area are set through a database provided from reference buildings. To validate the performance of the proposed method, the predicted cooling loads in hourly bases are calculated and compared with the measured data. The predicted results show fairly good agreement with the measured data for benchmarking building.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제23권1호
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• pp.15-24
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• 2017

Purpose: Korea is expected to enter an aged society in 2018 and then a super-aged society in early 2025. The country's aging is progressing faster than any other country in the world. However, the foundation of the elderly friendly industry is weak, and measures at the government level are urgently needed. Especially, housing problems of the elderly are one of the most urgent measures to be taken. Korea does not have the minimum residential area standard for the elderly, and the current general minimum residential area standard is based on the survey of the housing situation without scientific evidence. Therefore, both standards need to be revised as soon as possible based on scientific evidence. Methods: The minimum residential area standard has been calculated following Karl H. E. Kroemer's Min or Max design also being called as-single cut and dual cut theory- as the maximum population value and minimum population value theory of Ernest J. McCormick. Therefore there is a need for a formula made using a few key factors, such as corresponding dimension, practical dimension, clearance, spare dimension, integrated dimension. These elements can be defined and used as formulas to calculate minimum residential area standards. Results: Assuming the results of the spatial variability in this study showed that it is possible to raise the standard of living in a terms of sustainable minimum size for the young, old and all residents. Implications: The government should set a minimum residential area standard with scientific grounds and set up a policy improving the life of people who live in an needy residential environment.

• 응용통계연구
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• 제33권6호
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• pp.683-696
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• 2020

표본의 다범주 표현형을 예측하는데 사용되는 최적의 유전자집단이란 적은 수의 유전자로 표현형을 정확히 예측할 수 있는 유전자들의 모임이다. 특이발현유전자를 검색하는 통계량은 이미 여러 가지가 있고, K-평균 군집화를 곁들여 중복성이 적은 특이발현유전자들을 선택 가능하다. 이들을 바탕으로 적은 수로 정확하게 다범주 분류가 가능한 유전자집단을 구성할 수 있도록 수정한 입자최적화 방법을 제안한다. 널리 알려진 ALL 248례와 SRBCT 83례를 이용하여 제안된 방법으로 최적유전자집단을 찾을 수 있음을 보였다.