• Title/Summary/Keyword: 범주형 자료 분석

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Trimmed LAD Estimators for Multidimensional Contingency Tables (분할표 분석을 위한 절사 LAD 추정량과 최적 절사율 결정)

  • Choi, Hyun-Jip
    • The Korean Journal of Applied Statistics
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    • v.23 no.6
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    • pp.1235-1243
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    • 2010
  • This study proposes a trimmed LAD(least absolute deviation) estimators for multi-dimensional contingency tables and suggests an algorithm to estimate it. In addition, a method to determine the trimming quantity of the estimators is suggested. A Monte Carlo study shows that the propose method yields a better trimming rate and coverage rate than the previously suggest method based on the determinant of the covariance matrix.

An introductory study on the urban functions using CHAID technique (CHAID 技法에 의한 都市機能의 試論的 硏究)

  • ;Yang, Soon-Jeong
    • Journal of the Korean Geographical Society
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    • v.29 no.3
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    • pp.360-368
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    • 1994
  • To this day, a number of quantitative analytical methods have been employed in clarifying regional characteristics in the discipline of geography. This paper attempted, as a part of application of those quantitative analyses, to make clear the urban functions and consequently the urban characteristics statistically by adopting newly-introduced CHAID, a sort of discriminant analyis technique. The processing of data was sonducted in two phases. To begin with, the urban functions were classified after designating twenty cities - the population of each city counting 250, 000 or more - as predictor variable, and at the same time four major urban functions like administration, marketing, finance and production as response variable. And then, preeminent functions of individual region were discriminated and concurrently classified by treating the remaining traffic, education, medicare, culture and transportation functions as predictor variable, and the following five regions as response variable: Metropolitan Seoul Area. Pusan region, Taegu region, Kwangju region and Chungcheong region. According to the result of this analysis, marketing and administration are emereed as meaningful functions in Seoul and Taegu respectively. As for the finance function only Pusan and Pucheon can be discriminated. Seoul, Pusan and Seongnam reveal their dominancy in production function. To take a look at the result of the latter analysis, the Metropolitan Seoul area shows, among other functions, strong traffic and finance functions. When it comes fo Pusan region, adminstration, education and finance functions are recorded as a leading ones, and Taegu region is preferable in education, medicare and transportation functions. In case of Kwangju region adminstration, production and education functions are discriminated from any other functions. Chungcheong region shows similar aspect with only traffic function replacing the production function of Kwangju region. Based on aforementioned anlysis, it can be said that the CHAID technique, which is capable of processing large amount of categorical data and, by presenting its outcome in the form of dendrogram, facilitates the interpretation work, is an effective, meaningful means to classify and discriminate certain geographical regions and their characteristics.

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An Analysis of Students' Conceptions on Blood Circulation as Components: A Cross-sectional Study (혈액 순환 요소별 학생들의 개념 분석 : 횡단적 연구)

  • Kim, Mi-Young;Kim, Heui-Baik
    • Journal of The Korean Association For Science Education
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    • v.26 no.6
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    • pp.753-764
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    • 2006
  • The concept of blood circulation is so complex, dynamic and abstract that students have difficulty in understanding it and students' preconceptions hardly change into scientific concepts even after the lessons. The purpose of this study is to examine middle school, high school, and undergraduate students' understanding of blood circulation and to find the reason why the lack of deep understanding is displayed in students' explanations for the blood circulation. The study consists of three parts. First, the test was designed to investigate students' ideas for blood circulation as components of the structure, the function, the behavior and the mechanism. Second, the test was applied to 7th, 10th and 13th graders to investigate the students' understanding of blood circulation and categorize the types of students' blood circulation model according to their academic level. Finally, the concepts the students had little understanding of were analyzed to decide which ontological category they fell into and further to inquire the characteristics of each concept. The results showed that many students comprehend the structure and the function of blood circulation components well, and there was no significant difference in students' understanding according to the academic level. In contrast, understanding the behavior and the mechanism of circulatory components has remarkably improved in high school students and undergraduates majoring in science and engineering. Also, students' blood circulation models were classified into seven different types. High school students and undergraduates majoring in science and engineering demonstrated a significantly higher percentage on the type of double-loop-branch compared to other academic levels. In addition, it was found that the lack of deep understanding was caused by students' misconceiving the 'equilibrium' category as 'event' category.

Categorical Prediction and Improvement Plan of Snow Damage Estimation using Random Forest (랜덤포레스트를 이용한 대설피해액에 대한 범주형 예측 및 개선방안 검토)

  • Lee, Hyeong Joo;Chung, Gunhui
    • Journal of Wetlands Research
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    • v.21 no.2
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    • pp.157-162
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    • 2019
  • Recently, the occurrence of unusual heavy snow and cold are increasing due to the unusual global climate change. In particular, the temperature dropped to minus 69 degrees Celsius in the United States on January 8, 2018. In Korea, on February 17, 2014, the auditorium building in Gyeongju Mauna Resort was collapsed due to the heavy snowfall. Because of the tragic accident many studies on the reduction of snow damage is being conducted, but it is difficult to predict the exact damage due to the lack of historical damage data, and uncertainty of meteorological data due to the long distance between the damaged area and the observatory. Therefore, in this study, available data were collected from factors that are thought to be corresponding to snow damage, and the amount of snow damage was estimated categorically using a random forest. At present, the prediction accuracy was not sufficient due to lack of historical damage data and changes of the design code for green houses. However, if accurate weather data are obtained in the affected areas. the accuracy of estimates would increase enough for being used for be the degree preparedness of disaster management.

Exploring the Growth Process Types of Social Welfare Organizations in Korea - Focusing on Social Welfare Corporations Operating Social Welfare Facilities - (사회복지조직의 조직성장유형에 관한 탐색적 연구 - 시설운영 사회복지법인을 중심으로 -)

  • Kang, Young-Sook
    • Korean Journal of Social Welfare
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    • v.63 no.4
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    • pp.225-251
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    • 2011
  • This study analyzed the growth process types of social welfare corporations that have operated social welfare facilities after the Korean War and studied the methods of their organizational management. A number of 20 participants composed of the original founders, directors, and chief directors of social welfare corporations that have been established for more than 40 years were selected for in-depth interviews. The researcher had procedures of in-depth interviews with 20 participants, relevant literature reviews, conformation of the research results by participants and peer reviews. There were 169 concepts, 49 sub-categories, and 21 categories revealed by applying the grounded theory method of Strauss and Corbin. The organizational growth types were categorized into the three patterns: familism practicing type, community changing guidance type and the realization of a just society leading types. The results from the research work will provide understanding the original characteristics of social welfare corporations in Korea, building the theory for the growth process types of social welfare corporations and implicating the practice of social welfare organizational management.

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An User Experience of Proactive Intelligent Personal Assistant: Focusing on Google 'Nest Hub Max' (능동적 지능형 가상 비서의 사용자 경험 연구 : Google의 'Nest Hub Max'를 중심으로)

  • Cho, Soo Kyung;Kim, Jae-Yeop
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.379-389
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    • 2020
  • This is a qualitative study about Google 'Nest Hub Max' that displays proactive intelligent personal assistant. Following the step of grounded theory, an in-depth interview for 6 users who had used this device for a month was taken. 186 concepts were discovered, categorized as 11 top-categories and 24 sub-categories. Paradigm diagram, considering axis-coding, was made and it have been narrowed down to 'Usage patterns' of proactive IPA, considering selective coding aspects. 'Usage patterns' were divided to passive and active user. Thus, neither passive user nor active user was satisfied about device and proactive IPA. This study is meaningful that it constructed basic data about the user experience of proactive IPA on this device. It will support the device or service that consists proactive IPA in the future.

Comparison of Retained Activity Level according to Activity Areas of the Elderly (노인의 일상 활동 범주에 따른 활동 보유 수준 비교)

  • Paik, Young-Rim
    • The Journal of Korean society of community based occupational therapy
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    • v.9 no.2
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    • pp.1-12
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    • 2019
  • Objective : The purpose of this study is to measure the level of activity possessed by the daily activities of the elderly. In addition, we attempted to compare the differences in the categories of daily activities. Methods : We used K-ACS to evaluate 30 older people who engaged in economic activity living in community, 30 older people who did not have economic activity living in community, and 30 older people living in facility. We compared the level of activity retention. Results : There was a significant difference of level of activity retention according to the daily activity category of the subjects(p <.001). There was a difference in the instrumental activities according to the category of each activity, while the three groups showed similar patterns in leisure activities and social activities. In particular, all three groups were most likely to rest and watch television in the leisure activities, so the leisure activities of the elderly in Korea were very limited. Among the general characteristics, it was analyzed that there was a correlation between the activity, the marital status, the religion and the cognitive level. Conclusion : According to the daily activities category of the elderly, there was a difference in level of activity retention and the characteristics of daily activities correlated with the activities of the elderly. This suggests that it may be a basic data for establishing a client - centered intervention plan by considering the characteristics affecting daily living and level of activity retention of the elderly in the occupational therapy.

Bayesian logit models with auxiliary mixture sampling for analyzing diabetes diagnosis data (보조 혼합 샘플링을 이용한 베이지안 로지스틱 회귀모형 : 당뇨병 자료에 적용 및 분류에서의 성능 비교)

  • Rhee, Eun Hee;Hwang, Beom Seuk
    • The Korean Journal of Applied Statistics
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    • v.35 no.1
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    • pp.131-146
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    • 2022
  • Logit models are commonly used to predicting and classifying categorical response variables. Most Bayesian approaches to logit models are implemented based on the Metropolis-Hastings algorithm. However, the algorithm has disadvantages of slow convergence and difficulty in ensuring adequacy for the proposal distribution. Therefore, we use auxiliary mixture sampler proposed by Frühwirth-Schnatter and Frühwirth (2007) to estimate logit models. This method introduces two sequences of auxiliary latent variables to make logit models satisfy normality and linearity. As a result, the method leads that logit model can be easily implemented by Gibbs sampling. We applied the proposed method to diabetes data from the Community Health Survey (2020) of the Korea Disease Control and Prevention Agency and compared performance with Metropolis-Hastings algorithm. In addition, we showed that the logit model using auxiliary mixture sampling has a great classification performance comparable to that of the machine learning models.

A generalized logit model with mixed effects for categorical data (다가자료에 대한 혼합효과모형)

  • Choi, Jae-Sung
    • 한국데이터정보과학회:학술대회논문집
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    • 2001.10a
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    • pp.25-33
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    • 2001
  • This paper suggests a generalized logit model with mixed effects for analysing frequency data in multi-contingency table. In this model nominal response variable is assumed to be polychotomous. When some factors are fixed but condisered as ordinal and others are random, this paper shows how to use baseline-category logits to incoporate the mixed-effects of those factors into the model. A numerical algorithm was used to estimate model parameters by using marginal log-likelihood.

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Environmental Impact and Water Foot Print Assessment of Pot Bearing Using Life Cycle Assessment (LCA) (LCA를 이용한 교량용 포트받침 환경영향 및 물발자국 분석)

  • Park, Jihyung;Wie, Daehyung;Ko, Kwanghoon;Hwang, Yongwoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.6
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    • pp.851-857
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    • 2018
  • In this research, LCA analysis of the manufacturing process of pot bearing for fixed, movable in all directions, movable in one direction was carried out to analyze the environmental load using the LCA methodology. Especially, the water footprint that has been and issue in recent years was analyzed. As a result of LCA, it was analyzed that the contribution of the plate was more than 64.2% in all of the six impact categories in the case of fixed pot bearing base, and more than 94% in the category of resource depletion and photochemical oxidant creation. In the case of all direction pot bearing and one direction pot bearing, the contribution of PTFE was the highest in the global warming and stratospheric ozone depletion, and the contribution by the plate was higher in the other impact categories. The water footprint of each type of pot bearing was analyzed as $22.4m^3\;H_2O\;eq/kg$ for one direction pot bearing, $17.1m^3\;H_2O\;eq/kg$ for fixed pot bearing, and $14.1m^3\;H_2O\;eq/kg$ for all direction pot bearing. As a result of life cycle analysis, the contribution of water use in manufacturing was more than 65% in all three types. The results of this study can be used as basic data for decision making in construction method and material selection of bridges in the future.