• 응용통계연구
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• 제35권6호
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• pp.703-724
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• 2022

다변량 경시적 자료 분석은 반복 측정된 자료에 존재하는 상관관계를 올바르게 추정하면서 자료를 분석해야 한다. 경시적 연구에서는 다변량 경시적 자료가 주로 생성되지만, 기존 통계적 모형은 대부분 단변량으로 분석되어 다변량 경시적 자료에 존재하는 복잡한 상관관계를 제대로 설명하지 못하게 된다. 따라서 본 논문에서는 복잡한 상관관계를 설명하기 위해 공분산 행렬을 모형화하는 다양한 방법에 대해 고찰한다. 그 중 수정된 콜레스키 분해, 수정된 콜레스키 블록분해와 초구분해를 살펴본다. 그리고 일반화 자기회귀모수 행렬이 가지는 희박성 문제를 해결하기 위해 베이지안 방법을 이용하여 청소년 패널 데이터를 분석한다. 청소년 패널 데이터는 다변량 경시적 자료이며, 반응 변수로는 학교 적응도, 학업 성취도, 휴대전화 의존도를 고려한다. 자기 상관 구조와 혁신 표준 편차 구조를 달리 가정하여 여러 모형을 비교한다. 가장 적합한 모형에 대해 학교 적응도와 학업 성취도에 대해 모든 설명 변수가 유의미하며, 휴대전화 의존도가 반응 변수일 때 사교육 시간을 제외한 모든 설명 변수가 유의미한 것으로 나타난다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.18-18
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• 1996

This paper reviews some of the most prominent and promising areas of chemical process control both in relations to batch and continuous processes. These areas include the modeling, optimization, control and monitoring of chemical processes and entire plants. Most of these areas explicitly utilize a model of the process. For this purpose the types of models used are examined in some detail. These types of models are categorized in knowledge-driven and datadriven classes. In the areas of modeling and optimization, attention is paid to batch reactors using the Tendency Modeling approach. These Tendency models consist of data- and knowledge-driven components and are often called Gray or Hybrid models. In the case of continuous processes, emphasis is placed in the closed-loop identification of a state space model and their use in Model Predictive Control nonlinear processes, such as the Fluidized Catalytic Cracking process. The effective monitoring of multivariate process is examined through the use of statistical charts obtained by the use of Principal Component Analysis (PMC). Static and dynamic charts account for the cross and auto-correlation of the substantial number of variables measured on-line. Centralized and de-centralized chart also aim in isolating the source of process disturbances so that they can be eliminated. Even though significant progress has been made during the last decade, the challenges for the next ten years are substantial. Present progress is strongly influenced by the economical benefits industry is deriving from the use of these advanced techniques. Future progress will be further catalyzed from the harmonious collaboration of University and Industrial researchers.

• 디지털융복합연구
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• 제4권2호
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• pp.41-49
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• 2006

This study tried to find the determine of intention to mobile game service acceptance. Our research proposes the theoretical model consisting of factors such as perceived usefulness, perceived ease of using the mobile phone, perceived price. The data was analyzed using LISREL based on th structural equation modeling, a second-generation multivariate technique. The result shows that the perceived usefulness have significant effects on the mobile game service acceptance.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2006년도 춘계학술대회
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• pp.399-407
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• 2006

This study tried to fine the determine of intention to mobile game service acceptance. Our research proposes the theoretical model consisting of factors such as perceived usefulness, perceived ease of using the mobiliphone, perceived price. The data were analyzed using LISREL based on th structural equation modeling, a second-generation multivariate technique. The result show that the perceived usefulness have significant effects on the mobile game service acceptance.

• Nuclear Engineering and Technology
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• 제37권2호
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• pp.177-184
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• 2005

The Multivariate State Estimation Technique (MSET) is being used in Nuclear Power Plants for sensor and equipment condition monitoring. This paper presents the use of regularization methods for optimizing MSET's predictive performance. The techniques are applied to a simulated data set and a data set obtained from a nuclear power plant currently implementing empirical, on-line, equipment condition monitoring techniques. The results show that regularization greatly enhances the predictive performance. Additionally, the selection of prototype vectors is investigated and a local modeling method is presented that can be applied when computational speed is desired.

• Communications for Statistical Applications and Methods
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• 제3권2호
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• pp.249-273
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• 1996

This paper reviews and develops several statistical models for extreme values, based on threshold methodology. Extreme values of a time series are modeled in terms of tails which are defined as truncated forms of original variables, and Markov property is imposed on the tails. Tails of the generalized extreme value distribution and a multivariate extreme value distributively, of the tails of the series. These models are then applied to real ozone data series collected in the Chicago area. A major concern is given to detecting any possible trend in the extreme values.

• 한국수자원학회논문집
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• 제51권1호
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• pp.49-60
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• 2018

다변량 지역빈도해석은 기존에 사용되어온 다변량 빈도해석과 지역빈도해석의 장점을 가지고 있는 방법으로 다양한 변수를 고려함으로써 수문현상에 대하여 많은 정보를 얻을 수 있다. 현재까지는 우리나라의 수문자료를 이용하여 다변량 지역빈도해석이 시도된 적이 없어 국내의 수문자료를 대상으로 다변량 지역빈도해석의 적용성을 검토할 필요가 있다. 본 연구에서는 다변량 지역빈도해석의 수문학적 동질지역을 설정하는 단계에 집중하여 이변량 수문자료인 연최대 강우량-지속기간 자료에 대하여 수문학적 동질지역을 설정하였다. 이변량 지역빈도해석에서 사용되는 지역구분방법의 한국의 연최대 강우량-지속기간 자료에 대한 적용성을 평가하였고 그 특성을 분석하였다. 기상청 71개 지점에 대하여 분석을 실시하였다. 군집해석방법으로는 K-medoid 방법을 적용하였고, 불일치 척도와 이질성 척도를 이용하여 지역구분이 적절히 되었는지를 판정하였다. 군집해석 결과 한국은 총 5개의 지역으로 나누어지며, 두 지역을 제외하고는 지역 내 모든 지점의 불일치 척도가 기준치 이하인 것으로 나타났다. 자료연수가 짧은 지점에서 불일치 척도가 높게 나오는 것을 확인하였다. 구분된 모든 지역은 지역 내 지점들의 자료들이 동질한 것으로 나타났고 각 지점간의 상관성이 매우 높은 것으로 나타났다.

• Communications for Statistical Applications and Methods
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• 제22권3호
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• pp.209-222
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• 2015

Time series are used in many studies for model building and analysis. We must be very careful to understand the kind of time series data used in the analysis. In this review article, we will begin with some issues related to the use of aggregate and systematic sampling time series. Since several time series are often used in a study of the relationship of variables, we will also consider vector time series modeling and analysis. Although the basic procedures of model building between univariate time series and vector time series are the same, there are some important phenomena which are unique to vector time series. Therefore, we will also discuss some issues related to vector time models. Understanding these issues is important when we use time series data in modeling and analysis, regardless of whether it is a univariate or multivariate time series.

• 한국초등수학교육학회지
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• 제24권1호
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• pp.31-52
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• 2020

본 연구의 목적은 초등학교 수학 교사의 자기효능감, 구성주의적 교육신념, 그리고 교사경력과의 관련성을 파악하는 것이다. 이를 위해 299명의 초등학교 수학교사의 자료를 탐색적·확인적 요인분석, 상관관계분석, 다변량 분산분석, 그리고 구조방정식을 통해 분석하였다. 분석 결과, 수학 교사의 자기효능감은 교사경력 및 구성주의적 교육신념과 유의미한 정적 상관관계가 나타났다. 하지만, 교사경력과 구성주의적 교육신념사이에는 유의미한 상관관계가 없는 것으로 나타났다. 또한 수학 교사의 자기효능감은 교육경력과 구성주의적 교육신념 사이를 유의미하게 매개하는 것으로 확인되었다.

• Clinics in Shoulder and Elbow
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• 제26권1호
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• pp.41-48
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• 2023

Background: Shoulder instability procedures have low morbidity; however, complications can arise that result in readmission to an inpatient healthcare facility. The purpose of this study is to identify the demographics and risk factors associated with unplanned 30-day readmission and reoperation following arthroscopic and open treatment for shoulder instability. Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried to find patients who underwent shoulder instability surgery from 2015 to 2019. Independent sample Student t-tests, chi-square, and (where appropriate) Fisher's exact tests were used in univariate analyses to identify demographic, lifestyle, and perioperative variables related to 30-day readmission and reoperation following repair for shoulder instability. Multivariate logistic regression modeling was subsequently performed. Results: Of the 11,230 cases included in our sample, only 0.54% were readmitted, and 0.23% underwent reoperation within the 30-day postoperative period. Multivariate logistic regression modeling confirmed that the following patient variables were associated with statistically significantly increased odds of readmission and reoperation: open repair, congestive heart failure (CHF), and hospital length of stay. Conclusions: Unplanned 30-day readmission and reoperation after shoulder instability surgery is infrequent. Patients with American Society of Anesthesiologists class II, CHF, longer than average hospital length of stay, or an open procedure have higher odds of readmission than patients without those factors. Patients who have CHF, longer than average hospital length of stay, and open surgery have higher odds of reoperation than others. Arthroscopic procedures should be used to manage shoulder instability, if possible. Level of evidence: III.