• 제목/요약/키워드: Conditional influence function

검색결과 9건 처리시간 0.027초

OUTLIER DETECTION BASED ON A CHANGE OF LIKELIHOOD

  • Kim, Myung-Geun
    • Journal of applied mathematics & informatics
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    • 제26권5_6호
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    • pp.1133-1138
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    • 2008
  • A general method of detecting outliers based on a change of likelihood by using the influence function is suggested. It can be applied to all kinds of distributions that are specified by parameters. For the multivariate normal case, specific computations are made to get the corresponding conditional influence function. A numerical example is provided for illustration.

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Influence diagnostics for skew-t censored linear regression models

  • Marcos S Oliveira;Daniela CR Oliveira;Victor H Lachos
    • Communications for Statistical Applications and Methods
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    • 제30권6호
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    • pp.605-629
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    • 2023
  • This paper proposes some diagnostics procedures for the skew-t linear regression model with censored response. The skew-t distribution is an attractive family of asymmetrical heavy-tailed densities that includes the normal, skew-normal and student's-t distributions as special cases. Inspired by the power and wide applicability of the EM-type algorithm, local and global influence analysis, based on the conditional expectation of the complete-data log-likelihood function are developed, following Zhu and Lee's approach. For the local influence analysis, four specific perturbation schemes are discussed. Two real data sets, from education and economics, which are right and left censoring, respectively, are analyzed in order to illustrate the usefulness of the proposed methodology.

윤리적 소비와 소비가치의 관계에 대한 소비자 인식 변화: 소셜 빅데이터를 활용한 윤리적 소비와 소비가치의 키워드 변화 분석을 중심으로 (A Study on the Changes in Consumer Perceptions of the Relationship between Ethical Consumption and Consumption Value: Focusing on Analyzing Ethical Consumption and Consumption Value Keyword Changes Using Big Data)

  • 신은정;고애란
    • Human Ecology Research
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    • 제59권2호
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    • pp.245-259
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    • 2021
  • The purpose of this study was to analyze big data to identify the sub-dimensions of ethical consumption, as well as the consumption value associated with ethical consumption that changes over time. For this study, data were collected from Naver and Daum using the keyword 'ethical consumption' and frequency and matrix data were extracted through Textom, for the period January 1, 2016, to December 31, 2018. In addition, a two-way mode network analysis was conducted using the UCINET 6.0 program and visualized using the NetDraw function. The results of text mining show increasing keyword frequency year-on-year, indicating that interest in ethical consumption has grown. The sub-dimensions derived for 2014 and 2015 are fair trade, ethical consumption, eco-friendly products, and cooperatives and for 2016 are fair trade, ethical consumption, eco-friendly products and animal welfare. The results of deriving consumption value keywords were classified as emotional value, social value, functional value and conditional value. The influence of functional value was found to be growing over time. Through network analysis, the relationship between the sub-dimensions of ethical consumption and consumption values derived each year from 2014 to 2018 showed a significantly strong correlation between eco-friendly product consumption and emotional value, social value, functional value and conditional value.

한.EU간 통상환경변화가 수출에 미치는 영향 (A Study on the Effects of Export in the Change on Trade Enviroment of Korea-EU)

  • 최창열;최혁준
    • 통상정보연구
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    • 제7권3호
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    • pp.269-286
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    • 2005
  • The exchange rate volatility has been increased since the time when the floating exchange rate system was introduced in Korea. As a result, the increase of the exchange rate volatility raised the risk in international trades in Korea. The purpose of this study in to study the feature of exchange rate volatility and the main sources of its increase and to confirm whether the exchange rate volatility influence export volume and price of Korea. In the first place, I measured exchange rate volatility with two methods. The one is descriptive statistic method such as the width of daily exchange rate fluctuation and the rate of exchange rate devaluation. The other is the time varying conditional variance of exchange rate. Then, I studied the sources of exchange rate volatility. In the second place, I defined the exchange rate volatility as the time varying conditional variance and estimated it by using elastic a approach model which shows exchange rate is affected by itself and its conditional variance, I estimated its effects on export volumes and prices of electric home appliances, information & communication equal and semi-conductor. The result of this study is as follows. With presumed result EU and Korea because is not the goods which is to substantial competition relationship, The effect where the relative value change of presumed result expression anger and the dollar of import and export function goes mad to the import and export of Korea the income compared to is to export and it is appearing a lot. The EU goods is sold more expensively the Korean goods than from about length being caused by American market of the dollar and the balance of trade of Korea is visible like being visible the improvement of single breadth. Because the relationship of competition is weak but substantially there is to a short term and expression - the effect where the dollar rate fluctuation is big in Korean trade there is a possibility of saying that widely known it is not.

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Multivariate analysis of critical parameters influencing the reliability of thermal-hydraulic passive safety system

  • Olatubosun, Samuel Abiodun;Zhang, Zhijian
    • Nuclear Engineering and Technology
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    • 제51권1호
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    • pp.45-53
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    • 2019
  • Thermal-hydraulic passive safety systems (PSSs) are incorporated into many advanced reactor designs on the bases of simplicity, economics and inherent safety nature. Several factors among which are the critical parameters (CPs) that influence failure and reliability of thermal-hydraulic (t-h) passive systems are now being explored. For simplicity, it is assumed in most reliability analyses that the CPs are independent whereas in practice this assumption is not always valid. There is need to critically examine the dependency influence of the CPs on reliability of the t-h passive systems at design stage and in operation to guarantee safety/better performance. In this paper, two multivariate analysis methods (covariance and conditional subjective probability density function) were presented and applied to a simple PSS. The methods followed a generalized procedure for evaluating t-h reliability based on dependency consideration. A passively water-cooled steam generator was used to demonstrate the dependency of the identified key CPs using the methods. The results obtained from the methods are in agreement and justified the need to consider the dependency of CPs in t-h reliability. For dependable t-h reliability, it is advisable to adopt all possible CPs and apply suitable multivariate method in dependency consideration of CPs among other factors.

손실함수가 송도신도시의 최적 압밀층 두께 결정에 미치는 영향 (Influence of Loss Function on Determination of Optimal Thickness of Consolidating Layer for Songdo New City)

  • 김동휘;류동우;채영호;박정규;이우진
    • 한국지반공학회논문집
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    • 제27권8호
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    • pp.51-61
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    • 2011
  • 지층의 두께와 심도의 공간적 분포추정은 연약지반설계에 중요한 과정이다. 전통적인 크리깅 기법에서 채택되어 온 최소 분산기준은 항상 의사결정과정에 있어서 최적의 추정결과를 보장해 주지 않는다. 본 연구에서는 최적 압밀층 두께와 연직배수공법 적용 면적을 결정하기 위해 지시자 방법과 손실함수를 바탕으로 한 지구통계학적 방법을 사용하였다. 본 논문에서 제시한 예제를 통하여 사용하는 손실함수의 형태에 따라서 최적 추정값이 상이할 수 있음을 확인할 수 있었다. 본 논문에서 이용한 손실함수를 고려할 수 있는 설계방법이 지반공학분야에도 잘 적용될 수 있음을 확인할 수 있었다.

처오름의 신뢰성 해석에 대한 파고_주기결합분포의 영향 (Influence of Joint Distribution of Wave Heights and Periods on Reliability Analysis of Wave Run-up)

  • 이철응
    • 한국해안해양공학회지
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    • 제17권3호
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    • pp.178-187
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    • 2005
  • 경사식 방파제에서 파랑과 구조물의 상호작용에 의하여 발생되는 처오름에 대한 파고i주기결합분포의 영향을 해석할 수 있는 신뢰성 해석 모형이 제시되었다 처오름과 관련된 파괴모드의 정의에 따라 수면의 불확실성에 따른 영향을 해석할 수 있는 신뢰함수가 유도되었다. 특히 신뢰함수에 주기가 하나의 확률변수로 포함되어, 주기의 통계적 특성과 분포함수가 직접적으로 고려될 수 있을 뿐만 아니라 평균주기에 따른 파고분포의 거동특성이 조건부파고분포에 의해 올바로 고려될 수 있었다. 주기의 영향을 받지 않는 유의파고의 극치분포를 이용한 신뢰성 해석의 결과와 비교하여, 파고-주기결합분포를 이용한 신뢰성 해석이 극치분포를 이용한 신뢰성 해석보다 더 큰 파괴확률을 추정한다는 사실을 확인할 수 있었다. 따라서 중요한 구조물인 경우, 극치분포를 이용하여 경사식 방파제의 마루높이가 결정되더라도 단일 폭풍사상에 대하여는 파고-주기결합분포를 이용한 추가적인 해석이 필요하다. 한편 주기의 분포함수에 영향을 주는 계수에 따른 신뢰지수의 거동특성이 해석되었는데, 이에 따른 영향은 매우 작은 것으로 나타났다. 그러나 평균주기에 의한 파고분포의 거동에 따른 신뢰지수의 차이는 큰 것으로 나타났다 이는 파괴확률에 미치는 주기의 영향이 파고분포를 통하여 주로 발생된다는 것을 의미하는 것이다. 마지막으로 수면 변동 효과를 고려한 합리적인 마루높이 산정을 위해 마루높이의 변화에 따른 파괴확률을 산정하였다.

Estimate of Regional and Broad-based Sources for PM2.5 Collected in an Industrial Area of Japan

  • Nakatsubo, Ryouhei;Tsunetomo, Daisuke;Horie, Yosuke;Hiraki, Takatoshi;Saitoh, Katsumi;Yoda, Yoshiko;Shima, Masayuki
    • Asian Journal of Atmospheric Environment
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    • 제8권3호
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    • pp.126-139
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    • 2014
  • In order to estimate the influence of sources on $PM_{2.5}$ in the industrial area of Japan, we carried out a source analysis using chemical component data of $PM_{2.5}$. $PM_{2.5}$ samples were collected intermittently at an industrial area in Japan from July 2010 to November 2012. Water soluble ions ($Cl^-$, $NO_3{^-}$, $SO{_4}^{2-}$, $Na^+$,$NH_4{^+}$, $K^+$, $Mg^{2+}$, $Ca^{2+}$), elements (Al, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, Sb, Pb), and carbonaceous species (OC, EC) of the $PM_{2.5}$ (a total of 198 samples) were analyzed. Positive Matrix Factorization (PMF) model was applied to the data of those chemical components to identify the source of $PM_{2.5}$. At this observation site, nine factors were extracted. The major contributors of $PM_{2.5}$ were secondary sulfate 1, in which loading factors of $SO{_4}^{2-}$ and $NH_4{^+}$ were large (percentage source contribution: 20.9%), traffic, in which loading factors of OC (organic carbon) and EC (elemental carbon) were large (20.8%), secondary sulfate 2, in which loading factors of K and $SO{_4}^{2-}$ were large (8.0%), steel mills (7.8%), secondary chloride and nitrate (7.0%), soil (5.0%), heavy oil combustion (3.8%), sea salt (3.8%), and coal combustion (2.3%). The conditional probability function (CPF) and the potential source contribution function (PSCF) were carried out to examine the influence of a regional source and a broad-based source, respectively. CPF results supported local source influences such as steel mills, sea salt, traffic, coal combustion, and heavy oil combustion. PSCF results suggested that ships in the East China Sea, an industrial area of the east coastal region of China, and an active volcano in the Kyushu region of Japan were potential regional sources of secondary sulfate 1. Secondary sulfate 2 was affected by the burning of biomass fields and by coal combustion in Chinese urban areas such as Beijing, Hebei, and western Inner Mongolia. Source characterization using continuous data from one site showed a potential source representing fossil fuel combustion is affected both by regional and broad-based sources.

당파적 유권자는 정부의 국정 운영에 대해 어떻게 문책하는가?: 정부의 국정 운영 평가와 정부 신뢰, 그리고 당파적 책임 귀속 (How Partisan Voters Dispense Reward and Punishment for Government Performance: The Influence of Partisan Blame Attribution on Trust in Government)

  • 성예진;길정아
    • 의정연구
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    • 제27권1호
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    • pp.79-115
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    • 2021
  • 정부의 국정 운영에 대한 유권자들의 부정적인 평가는 정부 신뢰를 낮춤으로써, 이들이 정부에 대해 문책을 하는 의미를 지닌다. 따라서 정부 신뢰는 대의 정부의 정치적 책임성을 제고하는 기능을 한다. 그러나 국정 운영의 주체가 실질적으로 정당 정부라는 점, 따라서 정부 신뢰가 담고 있는 당파적 속성을 고려할 때, 본 연구는 유권자들의 국정 운영 평가가 정부 신뢰를 낮추는 영향력이 정당일체감에 의해 차별적으로 나타날 것을 경험적으로 검증한다. 응답자가 인식하는 정치/사회 갈등 수준이 높을수록, 정부 정책 평가가 부정적일수록, 경제 상황 평가가 부정적일수록 정부에 대한 신뢰가 낮아지는 가운데, 여당인 더불어민주당 지지자에게서는 이러한 영향력이 미미하였으나, 제1야당인 미래통합당 지지자들에게서는 그 영향력이 가장 명확하게 나타났다. 본 연구의 결과는 정부에 대한 유권자들의 신뢰와 불신의 대립이 정부의 국정 수행에 대한 평가보다 오히려 유권자들의 정치적 선호에 근거하여 발현되고 있음을 보여준다. 또한, 이는 정부 신뢰가 가지는 문책의 기능이 왜곡됨으로써 정부가 정치적 책임성을 제고할 유인이 약화될 수 있음을 시사한다.