• 제목/요약/키워드: Statistical-survey

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유형고정자산 감정을 위한 내용연수 산정 (An Estimation of ASL in Appraisal : Using Korea National Wealth Survey Data)

  • 오현승;이세재;권정훈;정남용;조진형
    • 산업경영시스템학회지
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    • 제41권2호
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    • pp.141-152
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    • 2018
  • Although the 1997 Raw Data of the National Wealth Statistical Survey (South Korea) is timely 20-year-old data, it is meaningful as a benchmarking in the capital stock estimations of Korea, which is estimated by PIM (permanent inventory method). In the case of machinery/equipment, it is the data that can analyze in depth the changes in the industrial structure of Korea. In the case of ASL (average service life) which has economic concept, since the change of ASL is not so large, ASL yielded by the Raw Data of the 1997 National Wealth Statistical Survey is meaningful as reference value for the ASL estimated by the Bank of Korea and the National Statistical Office. As you know Japan has changed its service life due to changes in its industrial structure. However, many of its assets are still used for the years indicated in Showa (before 1989). The same trend with other countries such as Japan. However, the United States is constantly devoted to assessing the useful ASL and value of assets by distinguishing between the Hulten-Wykoff models and those not. Korea has also benchmarked the useful ASL of the United States and Japan when it conducted its own survey every 10 years by due diligence until 1997. In this study, the 'constraint' Iowa curve estimation by the Raw Data of the 1997 National Wealth Statistical Survey is based on the age records of the assets and the maximum age of the assets appropriately derived. And then we made modified Iowa curve by smoothing. From this modified one, we suggested ASL by asset. After 1997, the vintage disposal data directly were collected by the National Statistical Office with Oh Hyun Seung, Cho Jin Hyung, in order to estimate the useful ASL. Since then, the B/S team of the Economic and Statistics Bureau of the Bank of Korea has been working on a new concept of content training.

반응표면 데이터마이닝 기법을 이용한 원전 종사자의 강건 직무 스트레스 관리 방법에 관한 연구 (A Study on the Methods for the Robust Job Stress Management for Nuclear Power Plant Workers using Response Surface Data Mining)

  • 이용희;장통일;이용희
    • 한국안전학회지
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    • 제28권1호
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    • pp.158-163
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    • 2013
  • While job stress evaluations are reported in the recent surveys upon the nuclear power plants(NPPs), any significant advance in the types of questionnaires is not currently found. There are limitations to their usefulness as analytic tools for the management of safety resources in NPPs. Data mining(DM) has emerged as one of the key features for data computing and analysis to conduct a survey analysis. There are still limitations to its capability such as dimensionality associated with many survey questions and quality of information. Even though some survey methods may have significant advantages, often these methods do not provide enough evidence of causal relationships and the statistical inferences among a large number of input factors and responses. In order to address these limitations on the data computing and analysis capabilities, we propose an advanced procedure of survey analysis incorporating the DM method into a statistical analysis. The DM method can reduce dimensionality of risk factors, but DM method may not discuss the robustness of solutions, either by considering data preprocesses for outliers and missing values, or by considering uncontrollable noise factors. We propose three steps to address these limitations. The first step shows data mining with response surface method(RSM), to deal with specific situations by creating a new method called response surface data mining(RSDM). The second step follows the RSDM with detailed statistical relationships between the risk factors and the response of interest, and shows the demonstration the proposed RSDM can effectively find significant physical, psycho-social, and environmental risk factors by reducing the dimensionality with the process providing detailed statistical inferences. The final step suggest a robust stress management system which effectively manage job stress of the workers in NPPs as a part of a safety resource management using the surrogate variable concept.

OVERVIEWS ON LIMIT CONCEPTS OF A SEQUENCE OF FUZZY NUMBERS I

  • Kwon, Joong-Sung;Shim, Hong-Tae
    • Journal of applied mathematics & informatics
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    • 제29권3_4호
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    • pp.1017-1025
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    • 2011
  • In this paper, we survey various notions and results related to statistical convergence of a sequence of fuzzy numbers, in which statistical convergence for fuzzy numbers was first introduced by Nuray and Savas in 1995. We will go over boundedness, convergence of sequences of fuzzy numbers, statistically convergence and statistically Cauchy sequences of fuzzy numbers, statistical limit and cluster point for sequences of fuzzy numbers, statistical mono-tonicity and boundedness of a sequence of fuzzy numbers and finally statistical limit inferior and limit inferior for the statistically bounded sequences of fuzzy numbers.

Statistical micro matching using a multinomial logistic regression model for categorical data

  • Kim, Kangmin;Park, Mingue
    • Communications for Statistical Applications and Methods
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    • 제26권5호
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    • pp.507-517
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    • 2019
  • Statistical matching is a method of combining multiple sources of data that are extracted or surveyed from the same population. It can be used in situation when variables of interest are not jointly observed. It is a low-cost way to expect high-effects in terms of being able to create synthetic data using existing sources. In this paper, we propose the several statistical micro matching methods using a multinomial logistic regression model when all variables of interest are categorical or categorized ones, which is common in sample survey. Under conditional independence assumption (CIA), a mixed statistical matching method, which is useful when auxiliary information is not available, is proposed. We also propose a statistical matching method with auxiliary information that reduces the bias of the conventional matching methods suggested under CIA. Through a simulation study, proposed micro matching methods and conventional ones are compared. Simulation study shows that suggested matching methods outperform the existing ones especially when CIA does not hold.

치위생 분야의 조사연구 논문 통계분석과 결과 해석 (Statistical Analysis and Interpretation of Survey Results in Dental Hygiene)

  • 김혜영;조영식;황수정
    • 치위생과학회지
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    • 제11권2호
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    • pp.63-67
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    • 2011
  • This study aimed to propose appropriate methods of statistical analysis and interpretation of survey results in dental hygiene. By using examples of published articles in the Journal of Dental Hygiene Science from 2003 to 2008, we made some suggestions to improve scientific and clear writing of the contents; purpose of the study, subjects and methods, statistical analysis, tables, and interpretations.

DATA QUALITY AND COSTS IN MEASURING TIME-RELATED UNDEREMPLOYMENT IN KOREA

  • 김설희
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2000년도 추계학술발표회 논문집
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    • pp.97-104
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    • 2000
  • Time-related underemployment exists when a person's employment is insufficient in terms of the volume of work. Two alternative definitions can be considered based on a longer-term view or a shorter-term view and these were designed into a single questionnaire. We conducted a pilot sample survey with about 6,000 respondents in Korea. The estimates of underemployment using the two definitions show some differences given the ages, genders, industrial areas and main activities of the respondents. A larger number of people could be identified as underemployed when the longer-term view is used than when the shorter-term view is used, but there is a greater cost associated with the former. The cost-benefit of the interviewers' time was investigated by multiple visits to households. Biases and costs are also analyzed using the results of the comparison of the decrease in non-responses with the increase in the costs for the interviews.

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Constraining Cosmological Parameters with Gravitational Lensed Quasars in the Sloan Digital Sky Survey

  • Han, Du-Hwan;Park, Myeong-Gu
    • 천문학회보
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    • 제39권1호
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    • pp.34-34
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    • 2014
  • We investigate the constraints on the matter density ${\Omega}m$ and the cosmological constant ${\Omega}{\Lambda}$ using the gravitational lensed QSO (Quasi Stellar Object) systems from the Sloan Digital Sky Survey (SDSS) by analyzing the distribution of image separation. The main sample consists of 16 QSO lens systems with measured source and lens redshifts. We use a lensing probability that is simply defined by the gaussian distribution. We perform the curvature test and the constraints on the cosmological parameters as the statistical tests. The statistical tests have considered well-defined selection effects and adopt parameter of velocity dispersion function. We also applied the same analysis to Monte-Carlo generated mock gravitational lens samples to assess the accuracy and limit of our approach. As the results of these statistical tests, we find that only the excessively positively curved universe (${\Omega}m+{\Omega}{\Lambda}$ > 1) are rejected at 95% confidence level. However, if the informations of the galaxy as play a lens are measured accurately, we confirm that the gravitational lensing statistics would be the most powerful tool.

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On efficient estimation of population mean under non-response

  • Bhushan, Shashi;Pandey, Abhay Pratap
    • Communications for Statistical Applications and Methods
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    • 제26권1호
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    • pp.11-25
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    • 2019
  • The present paper utilizes auxiliary information to neutralize the effect of non-response for estimating the population mean. Improved ratio type estimators for population mean have been proposed and their properties are studied. These estimators are suggested for both single phase sampling and two phase sampling in presence of non-response. Empirical studies are conducted to validate the theoretical results and demonstrate the performance of the proposed estimators. The proposed estimators are shown to perform better than those used by Cochran (Sampling Techniques (3rd ed), John Wiley & Sons, 1977), Khare and Srivastava (In Proceedings-National Academy Science, India, Section A, 65, 195-203, 1995), Rao (Randomization Approach in Incomplete Data in Sample Surveys, Academic Press, 1983; Survey Methodology 12, 217-230, 1986), and Singh and Kumar (Australian & New Zealand Journal of Statistics, 50, 395-408, 2008; Statistical Papers, 51, 559-582, 2010) under the derived optimality condition. Suitable recommendations are put forward for survey practitioners.

7학년 국어교과서의 어휘 통계조사 -노미숙, 김태철 교과서를 중심으로- (Statistical Survey of Vocabulary in Korean Textbook for 7th-Grade -Focus on the No's and the Kim's Textbooks-)

  • 김철수
    • 한국콘텐츠학회논문지
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    • 제14권4호
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    • pp.491-499
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    • 2014
  • 본 연구는 중학교 7학년 국어교과서 4종에 나타나는 어휘들에 대한 통계(음절 개수, 음절 종류, 음절 출현 빈도, 어절 개수, 어절 종류, 어절 평균 길이, 어절 출현 빈도 등)를 조사하였다. 전체 한글 음절 개수는 286,801개, 한글 음절 종류는 1,350개, 음절 평균 출현빈도는 212.4회이다. 어절 개수는 109,393개, 어절 종류는 29,356개, 어절 평균 출현빈도는 3.7회이다. 평균 음절 길이는 2.7음절이며, 한글 어절 중 가장 긴 어절길이는 8이다.

보고통계 품질향상을 위한 품질평가지표 개발 (Development of Quality Assessment Indicators for Statistics Based on Administrative Records)

  • 김영원;박진우;김설희;박은영;이기재
    • 한국조사연구학회지:조사연구
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    • 제7권1호
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    • pp.85-107
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    • 2006
  • 최근 들어 행정자료에 바탕을 둔 보고통계의 품질에 대한 관심이 높아지고 있다. 보고통계는 우리나라 승인통계 중에서 많은 비중을 차지하고 있으며 자료수집 과정이 조사통계와 현저히 다른 특성이 있다. 따라서 보고통계의 품질을 높이기 위해서는 보고통계의 특성에 맞는 품질관리방안이 필요하다. 그동안 통계품질에 대한 논의는 주로 조사통계를 중심으로 진행되어 왔으며 보고통계에 대해서는 활발하게 이루어지지 않았다. 본 논문은 보고통계의 품질향상에 관한 것으로 우리나라 보고통계의 현황을 파악하고, 보고통계의 품질향상을 위해서 고려해야 할 품질평가지표를 개발하는 것을 목적으로 한다.

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