• Title/Summary/Keyword: 양적하

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양적속성 추정을 위한 2단계 확률화응답기법

  • 최경호
    • Communications for Statistical Applications and Methods
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    • v.4 no.1
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    • pp.161-165
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    • 1997
  • 양적속성의 추정을 위한 확률화응답기법은 Greenberg et al.(1971)로부터 시작된다. 이후 새로운 방법에 대한 제시(Dalenius와 Vitale(1974)) 및 분포함수에 대한 추정(Duffy와 Waterton(1984))등이 연구되어 오고 있다. 본 연구에서는 2단계 확률화응답기법을 이용하여 양적속성을 추정하는 방법을 제시하고 이의 효율성 비교를 행해 보고자 한다.

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Quantitative Text Mining for Social Science: Analysis of Immigrant in the Articles (사회과학을 위한 양적 텍스트 마이닝: 이주, 이민 키워드 논문 및 언론기사 분석)

  • Yi, Soo-Jeong;Choi, Doo-Young
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.118-127
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    • 2020
  • The paper introduces trends and methodological challenges of quantitative Korean text analysis by using the case studies of academic and news media articles on "migration" and "immigration" within the periods of 2017-2019. The quantitative text analysis based on natural language processing technology (NLP) and this became an essential tool for social science. It is a part of data science that converts documents into structured data and performs hypothesis discovery and verification as the data and visualize data. Furthermore, we examed the commonly applied social scientific statistical models of quantitative text analysis by using Natural Language Processing (NLP) with R programming and Quanteda.

Case Study of the Sixth Grade Students' Quantitative Reasoning (초등학교 6학년 학생의 양적 추론 사례 연구)

  • Jeong, Hyung-Og;Lee, Kyung-Hwa;Pang, Jeong-Suk
    • Journal of Educational Research in Mathematics
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    • v.19 no.1
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    • pp.81-98
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    • 2009
  • This study analyzed the types of quantitative reasoning and the characteristics of representation in order to figure out the characteristics of quantitative reasoning of the sixth graders. Three students who used quantitative reasoning in solving problems were interviewed in depth. Results showed that the three students used two types of quantitative reasoning, that is difference reasoning and multiplicative reasoning. They used qualitatively different quantitative reasoning, which had a great impact on their problem-solving strategy. Students used symbolic, linguistic and visual representations. Particularly, they used visual representations to represent quantities and relations between quantities included in the problem situation, and to deduce a new relation between quantities. This result implies that visual representation plays a prominent role in quantitative reasoning. This paper included several implications on quantitative reasoning and quantitative approach related to early algebra education.

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A Stratified Mixed Multiplicative Quantitative Randomize Response Model (층화 혼합 승법 양적속성 확률화응답모형)

  • Lee, Gi-Sung;Hong, Ki-Hak;Son, Chang-Kyoon
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2895-2905
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    • 2018
  • We present a mixed multiplicative quantitative randomized response model which added a unrelated quantitative attribute and forced answer to the multiplicative model suggested by Bar-Lev et al. (2004). We also try to set up theoretical grounds for estimating sensitive quantitative attribute according to circumstances whether or not the information for unrelated quantitative attribute is known. We also extend it into the stratified mixed multiplicative quantitative randomized response model for stratified population along with two allocation methods, proportional and optimum allocation. We can see that the various quantitative randomized response models such as Eichhorn-Hayre's model (1983), Bar-Lev et al.'s model (2004), Gjestvang-Singh's model (2007) and Lee's model (2016a), are one of the special occasions of the suggested model. Finally, We compare the efficiency of our suggested model with Bar-Lev et al.'s (2004) and see that the bigger the value of $C_z$, the more the efficiency of the suggested model is obtained.

Trends and Prospects for Demographic Structure and Labor Supply in Korea (우리 나라 인구 및 학력의 구조변화와 노동력 수급전망)

  • 구성열;강병규
    • Korea journal of population studies
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    • v.21 no.1
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    • pp.5-41
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    • 1998
  • Over the past 30 years, Korea experienced demographic transition which typically substitutes quality(education) for quantity(number) of population. This paper decomposed labor supply into quantity and quality aspects and estimated the respective employment elasticities of economic growth in the past. Then, based on the assumptions about the future population (by age, sex and education) and labor force participation rates, the future labor supply(both quantity and quality) is projected and growth potential of the Korean economy is evaluated. The result shows that labor supply in Korea is relying gradually more on the qualitative rather than the quantitative aspect but since the increase in the former will not fully compensate the decrease in the latter, the potential growth rate of the Korean economy will be substantially reduced in the futrue.

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Unrelated question model with quantitative attribute by stratified double sampling (층화이중추출법에 의한 양적속성의 무관질문모형)

  • 이기성;홍기학
    • The Korean Journal of Applied Statistics
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    • v.8 no.1
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    • pp.27-38
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    • 1995
  • In the surveys of sensitive issues of the population that is composed of several unknown-size stratum, we propose the unrelated question model with quantitative attribute by using stratified double sampling. And, we consider two types of sample allocations under the fixed cost, which are the proportional allocation, the optimum allocation. In efficiency, the proosed model is inferior to the unrelated question model with quantitative attribute by stratified sampling in case of the size of each stratum is known. But we find that efficiency of the proposed model is increased, when the selecting probability of sensitive question p is small and first stage sample size n' is large.

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A Query Language for Quantitative Analysis on Graph Databases (그래프 데이터베이스의 양적 분석을 위한 질의 언어)

  • Park, Sung-Chan;Lee, Sang-Goo
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06a
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    • pp.77-80
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    • 2011
  • 그래프는 전산학의 주요 주제 중 하나이며 World Wide Web과 Social Network의 중요성이 커지면서 더욱 주목을 받고 있다. 그래프와 관련하여 그래프 데이터베이스에 대한 질의 모델에 관한 연구도 중요하게 다투어져 왔다. 하지만 이들 연구는 패턴 매칭을 통한 질의를 주로 다루었다. 하지만 그래프 데이터를 추천이나 검색 등의 응용하기 위해서는 PageRank 등 그래프 내의 연결 구조를 양으로 분석해내는 작업이 요구된다. 또한 SimRank 및 Random Walk with Restart 등 다양한 양적 분석 측도가 제안되고 있다. 이에 따라 본 연구에서는 Random Walk를 기반으로 하는 그래프에 대한 유연한 양적 분석을 지원하는 질의 언어를 제시한다. 또한 기존의 양적 분석 측도들이 본 질의 모델을 통하여 어떻게 표현되는지를 통하여 본 질의 모델의 유용성 및 확장성을 보인다.

The optimal traffic signal control method using the symbolic timing analysis (신호제어 변수들의 기호적 시간해석을 이용한 최적 교통 신호제어 방법)

  • 윤동영;이종근;지승도
    • Proceedings of the Korea Society for Simulation Conference
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    • 2002.05a
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    • pp.43-49
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    • 2002
  • 본 연구는 첨단 신호 시스템 알고리즘의 최적해를 구하는 문제를 기호적 시뮬레이션 기법으로 해결하기 위한 방법론을 제시한다. 최근 지능형 교통 시스템의 일환으로 최적화 된 교통신호를 생성하기 위한 신호제어기법들이 많이 개발되었다. 하지만 이러한 신호제어기법은 복잡한 교통환경에서 신호제어 변수간의 다양한 상호작용의 모든 해를 제공할 수 없는 한계를 지닌다. 한편 기호적 시뮬레이션 기법은 발생 가능한 모든 사건과 시간관계를 자동 생성시킴으로써 동적으로 변화하는 다양한 교통환경에 대해서 신호제어 변수간의 모든 시간관계를 추론해 낼 수 있는 장점을 지닌다. 하지만 기호적 시뮬레이션을 이용한 모델링에 있어서 교통량과 같은 양적인 요소들의 기호적 표현에는 어려움이 따른다. 따라서 본 논문에서는 교통량과 같은 양적인 요소들을 시간에 따른 변화량으로 해석하여 첨단 신호 시스템 알고리즘의 최적해를 구하는 문제에 접근한다. 이를 위해 국내 첨단 신호 시스템을 대상으로 신호제어 전략에 필요한 양적 요소를 검토하고, 이러한 양적 요소를 시간에 따른 변화량으로 해석하여 모델링 하고, 기호적 시뮬레이션 실험을 수행하여 최적신호 제어 알고리즘을 생성한다.

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An Additive Stratified Quantitative Attribute Randomized Response Model (층화 가법 양적속성 확률화응답모형)

  • Lee, Gi-Sung;Ahn, Seung-Chul;Hong, Ki-Hak;Son, Chang-Kyoon
    • The Korean Journal of Applied Statistics
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    • v.27 no.2
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    • pp.239-247
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    • 2014
  • For a sensitive survey in which the population is composed by several strata with quantitative attributes, we present an additive stratified quantitative attribute randomized response model which applied stratified random sampling instead of simple random sampling to the models of Himmelfarb-Edgell's additive quantitative attribute model and Gjestvang-Singh's. We also establish theoretical grounds to estimate the stratum mean of sensitive quantitative attributes as well as the over all mean. We deal with the proportional and optimal allocation problems in each suggested model and compare the relative efficiency of the suggested two models; subsequently, Himmelfarb-Edgell's model is more efficient than Gjestvang-Singh's model under the condition of stratified random sampling.

Analysis of Learning Opportunities Provided in Elapsed Time Instruction: Focusing on Quantitative Objectification (경과시간 수업에서 제공되는 학습기회 분석: 양적 대상화를 중심으로)

  • Han, Chaereen
    • Education of Primary School Mathematics
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    • v.24 no.4
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    • pp.203-216
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    • 2021
  • Seeing the elapsed time as a quantity that can be measured is quite challenging for students while making students see it is also challenging for teachers. Tuning on these challenges, this article reports on what learning opportunities elementary teachers provide when they teach elapsed time focusing on quantitative objectification. I observed three mathematics classrooms where the elapsed time was taught by three elementary teachers and did a narrative analysis on the instructions. All three teachers utilized certain tools to support students access to the elapsed time as a quantity. They appropriated various quantitative attributes of the tool. In the case of the analog clock, one teacher tried to quantification the elapsed time with the number of minute hand's turning, while the other teacher indicated the distance of minute hand's moving. One teacher represented the elapsed time with the longitudinal attribute of the time band. Standing on the findings, the didactical implications of various attempts for quantitative objectification of the elapsed time implemented were discussed.