• Title/Summary/Keyword: Extreme Value analysis

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Quantification of Environmental Characteristics on Citrus Production Area of Jeju Island in Korea (제주도 감귤 재배지역에 대한 환경특성의 정량화)

  • Moon, Kyung Hwan;Son, In-Chang;Song, Eun Young;Oh, SoonJa;Park, Kyo Sun;Hyun, Hae-Nam
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.17 no.1
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    • pp.69-74
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    • 2015
  • To analyze quantitatively environmental characteristics of cultivation area of citrus, Satsuma mandarin (Citrus unshiu Marc.), we made digital maps of environmental elements such as topography and climate. Elevation, degree of slope, and slope aspect were selected as elements of topological environment, and the annual mean air temperature, annual total precipitation, mean air temperature on January, extreme value of daily minimum air temperature, and the number of days below $-5^{\circ}C$ were selected as elements of climatic environments. The grid values of 8 environmental elements were extracted by shape of citrus farm area and analyzed distribution patterns. We can determine 3 agroclimatic criteria for growing Satsuma mandarin as over $14.5^{\circ}C$ of annual mean air temperature, over $-10.0^{\circ}C$ of extreme value of daily minimum air temperature, and less 5 days of below $-5^{\circ}C$ of daily minimum air temperature.

Relationship between Urbanization and Cancer Incidence in Iran Using Quantile Regression

  • Momenyan, Somayeh;Sadeghifar, Majid;Sarvi, Fatemeh;Khodadost, Mahmoud;Mosavi-Jarrahi, Alireza;Ghaffari, Mohammad Ebrahim;Sekhavati, Eghbal
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.sup3
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    • pp.113-117
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    • 2016
  • Quantile regression is an efficient method for predicting and estimating the relationship between explanatory variables and percentile points of the response distribution, particularly for extreme percentiles of the distribution. To study the relationship between urbanization and cancer morbidity, we here applied quantile regression. This cross-sectional study was conducted for 9 cancers in 345 cities in 2007 in Iran. Data were obtained from the Ministry of Health and Medical Education and the relationship between urbanization and cancer morbidity was investigated using quantile regression and least square regression. Fitting models were compared using AIC criteria. R (3.0.1) software and the Quantreg package were used for statistical analysis. With the quantile regression model all percentiles for breast, colorectal, prostate, lung and pancreas cancers demonstrated increasing incidence rate with urbanization. The maximum increase for breast cancer was in the 90th percentile (${\beta}$=0.13, p-value<0.001), for colorectal cancer was in the 75th percentile (${\beta}$=0.048, p-value<0.001), for prostate cancer the 95th percentile (${\beta}$=0.55, p-value<0.001), for lung cancer was in 95th percentile (${\beta}$=0.52, p-value=0.006), for pancreas cancer was in 10th percentile (${\beta}$=0.011, p-value<0.001). For gastric, esophageal and skin cancers, with increasing urbanization, the incidence rate was decreased. The maximum decrease for gastric cancer was in the 90th percentile(${\beta}$=0.003, p-value<0.001), for esophageal cancer the 95th (${\beta}$=0.04, p-value=0.4) and for skin cancer also the 95th (${\beta}$=0.145, p-value=0.071). The AIC showed that for upper percentiles, the fitting of quantile regression was better than least square regression. According to the results of this study, the significant impact of urbanization on cancer morbidity requirs more effort and planning by policymakers and administrators in order to reduce risk factors such as pollution in urban areas and ensure proper nutrition recommendations are made.

Experimental and analytical studies on stochastic seismic response control of structures with MR dampers

  • Mei, Zhen;Peng, Yongbo;Li, Jie
    • Earthquakes and Structures
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    • v.5 no.4
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    • pp.395-416
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    • 2013
  • The magneto-rheological (MR) damper contributes to the new technology of structural vibration control. Its developments and applications have been paid significant attentions in earthquake engineering in recent years. Due to the shortages, however, inherent in deterministic control schemes where only several observed seismic accelerations are used as the trivial input and in classical stochastic optimal control theory with assumption of white noise process, the derived control policy cannot effectively accommodate the performance of randomly base-excited engineering structures. In this paper, the experimental and analytical studies on stochastic seismic response control of structures with specifically designed MR dampers are carried out. The random ground motion, as the base excitation posing upon the shaking table and the design load used for structural control system, is represented by the physically based stochastic ground motion model. Stochastic response analysis and reliability assessment of the tested structure are performed using the probability density evolution method and the theory of extreme value distribution. It is shown that the seismic response of the controlled structure with MR dampers gain a significant reduction compared with that of the uncontrolled structure, and the structural reliability is obviously strengthened as well.

A Study of Frequency Analysis by using Locally Weighted Polynomial Method (지역가중다항식을 이용한 빈도해석에 관한 연구)

  • Moon, Young-Il;Jeong, Min-Su;Choi, Byung-Gyu;You, Seung-Yeon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.804-808
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    • 2006
  • 유량자료를 이용한 매개변수적 빈도해석 방법은 주관적인 분포형 선정문제를 안고 있다. 이러한 분포형 선택문제는 수문자료의 오랜 축척에 따른 통계적 분석을 통해 하나의 확률분포형을 선택할 수 있는 경우 극복될 수 있을 것이다. 그러나, 일반적으로 수문자료의 관측 기간이 짧아 하나의 분포형을 선택하는데 어려움을 갖고 있다. 반면에, 지역가중다항식을 이용한 빈도해석의 경우 단일분포형 선택문제가 아닌 자료로 부터 매개변수를 선택하고 추정함으로서 White noise를 제거 또는 감소하며 자연계의 이질적, 다중변수적 그리고 시공간적 특성을 잘 반영할 수 있는 것으로 알려져 있다. 따라서 본 연구에서는 단일 주관분포 선택문제가 아닌 자료로부터 매개변수의 선택 추정이 이루어지는 지역가중다항식을 이용한 빈도해석을 수행하였다. 분석에는 서울강우자료로 매개변수적 빈도해석을 수행하는 경우 Gumbel, GEV(Type I Extreme Value) 그리고 LN2 (Log-Normal 2) 등의 분포형을 적용하여 지역 가중다항 추정자의 산출 결과와 비교 검토하였다. 또한 각각의 방법을 적용해 이중첨두(bimodal) 분포형에 대한 모형의 적합성을 도시적으로 비교 산정하였다.

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An Analysis on the Application of Functional Mask for Protection in Fashion Mask (보호용 기능성 마스크를 응용한 패션 마스크 분석)

  • Choi, Jung-Hwa
    • Fashion & Textile Research Journal
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    • v.15 no.6
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    • pp.851-861
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    • 2013
  • This study analyzed the fashionable characteristics of functional fashion mask types. This study reviewed the literature on masks and analyzed fashion photos found in fashion books, fashion collections and on internet fashion sites. The results were categorized into four characteristics. Integration of structure and function showed mask designs that connected to the hood and portable items. It represented the reflection of nomadic life, liberation, obscurity and the consciousness of discomfort. Signs of playfulness showed mask hybrids and animal images, the mask hybrids and humanoid images, the printing of animal characters, body parts and unusual material hybrids. It represented the liberation from a fixed identity, the loss of seriousness, the reduction of tension and the pursuit of pleasure and freedom. The duplicity of aggression and protection showed a futuristic or aggressive helmet facemask, an enclosed mask of intensive color, and the morphological hybrid of a disgusting or aggressive motif. It represented the end of human weakness, the desire of new self-expression and the longing of superhuman power. Fanciful decoration showed masks with glittery decoration, sunglasses with luxury decoration material, a medical facemask made of lace material and fanciful printing. It showed one facet of extreme consumption, the creation of new personality and value, the pursuit of high quality and a mutual coexistence of status and anonymity.

Comparison of Waist-to-height Ratio (WHtR), Body Mass Index (BMI) and Waist Circumference (WC) as a Screening Tool for Prediction of Metabolic-related Diseases

  • Oh, Hyun Sook
    • Journal of Integrative Natural Science
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    • v.8 no.4
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    • pp.305-312
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    • 2015
  • The present study showed WHtR to be significantly better than BMI and WC for prediction of metabolic-related diseases in the middle-aged and older people in Korea, based on Bayesian ordered probit model analysis. The variations of WC, BMI and WHtR were compared according to the number of metabolic-related diseases such as hypertension, dyslipidemia, stroke, myocardial infarction, angina pectoris and diabetes. It was found that the three measures showed the similar variation except a very few extreme cases for age less than 40. For subjects over the age of 40, WC was not significant and WHtR gave more influence in greater variability than BMI on the number of metabolic diseases. Also, the rate of change for WHtR was higher than for BMI as the number of metabolic-related diseases increased. Specifically, the difference of the marginal effect of WHtR between no disease and only one disease was 1.81 times higher than that of BMI. Moreover, it was pointed out that the threshold value of WHtR for obesity should be considered differently by age.

The Cultural Phenomena of the Post modern-Feminism and Contemporary Fashion (Post modern-Feminism의 문화 현상과 패션)

  • Shon, Mi-Hee
    • Journal of the Korean Society of Costume
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    • v.46
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    • pp.49-66
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    • 1999
  • The bisexuality deconstructivity and diversity that are great characteristics on the comtemporary fashion are showed in the fashion collections. The purpose of this paper is to investigate and analyze the influence of these characteristics made by the post modern-feminism fashion through the cultural pattern analysis. The post modern-feminism was analyzed by dividing the cultural pattern into 1) the deconstructivity of androcentrism -This characteristic was presented in the costume design that breaks the basic from of the line color and quality of the material showing in men's clothes. 2) By rejecting main current fashion -Subculture style appeared in main current fashion the boundary of main and anti-main current fashion was vagued and the phenomena that the identity of subgroup was weakened were showed. 3) In the coexistence of double-sided value -This characteristic was presented in the cross-dressing fashion that cut away women's slender part and men's rough part. 4) In the open-minded thought of gender -This tendency was reached an extreme from excessive exposure to design which gives the sexual stimulus. This paper is expected to be helpful to understand the contemporary fashion by treating the cultural category associated with post-modern feminism in relation to contemporary fashion and to establish the direction of 21 century fashion.

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Estimation of Drought Rainfall According to Consecutive Duration and Return Period Using Probability Distribution (확률분포에 의한 지속기간 및 빈도별 가뭄우량 추정)

  • Lee, Soon Hyuk;Maeng, Sung Jin;Ryoo, Kyong Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.1103-1106
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    • 2004
  • The objective of this study is to induce the design drought rainfall by the methodology of L-moment including testing homogeneity, independence and outlier of the data of annual minimum monthly rainfall in 57 rainfall stations in Korea in terms of consecutive duration for 1, 2, 4, 6, 9 and 12 months. To select appropriate distribution of the data for annual minimum monthy rainfall by rainfall station, the distribution of generalized extreme value (GEV), generalized logistic (GLO) as well as that of generalized pareto (GPA) are applied and the appropriateness of the applied GEV, GLO, and GPA distribution is judged by L-moment ratio diagram and Kolmogorov-Smirnov (K-S) test. As for the annual minimum monthly rainfall measured by rainfall station and that stimulated by Monte Carlo techniques, the parameters of the appropriately selected GEV and GPA distributions are calculated by the methodology of L-moment and the design drought rainfall is induced. Through the comparative analysis of design drought rainfall induced by GEV and GPA distribution by rainfall station, the optimal design drought rainfall by rainfall station is provided.

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Derivation of Design Flood by L-Moments and LH-Moments in GEV distributiion (L-모멘트 및 LH-모멘트에 의한 GEV 분포모형의 실계홍수량의 유도)

  • 이순혁;박명근;맹승진;정연수;김동주;류경식
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1999.10c
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    • pp.479-485
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    • 1999
  • This study was conducted to derived design floods by Generalized Extreme Value(GEV) distributiion for the annual maximum series at ten watersheds along Han, Nagdong, Geum , Yeongsan and Seomjin river systems. Adequency for the analysis of flood data used in this study was established by the test of Independence, Homogeneity , detection of Outliers. Coefficient of variation , skewness and kurtosis were calculated by the L-Moment, and LH-Moment ratio respectively. Parameters were estimated by the Method of L-Method of LH-Moment. Design floods obtained by Method of L-Moments and LH-Moments using different methods for plotting positions in GEV distributions and were compared with those obatined using the Method of L-Moments and LH-Moments by the Relative Mean Errors and Realtive Absoulte Errors. It was found that desgin floods derived by the method of L-Moments and LH-Moments using Cunnane plotting position foumula in the GEV distribution are much closer to those of the observed data in comparison with those obtained by methods of L-moments and LH-moments using the other formula for poltting postions from the viewpoint of Relative Mean Errors and Relative Absoulte Errors. In view of the fact that hydraulic structures indcluding dams and levees are generally usiong design floods with the return period of two hundred years or so, design floods derived by LH-Moments are seemed to be more reasonable than those of L-Moments in the GEV distribution.

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A Study on a Flood Frequency Analysis Guideline for Korea (국내 홍수빈도해석 지침서 수립을 위한 연구)

  • Kim, Young-Oh;Sung, Jang-Hyun;Seo, Seung-Beom;Lee, Kyoung-Teak
    • 한국방재학회:학술대회논문집
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    • 2010.02a
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    • pp.53.2-53.2
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    • 2010
  • 국내 홍수빈도해석 지침서 제공을 위한 기초 연구로서 미국 홍수빈도해석 지침서인 Bulletin 17B과 같이 국내 적합한 홍수빈도해석 기법을 제시하고자 하였다. 홍수빈도해석 지침서의 핵심은 확률분포형과 매개변수 추정법을 제시하는 것이며 이에 GEV(Generalized Extreme Value), GLO(Generalized Logistic) 분포, B-GLS(Bayesian Generalized Least Square) 기법을 대상으로 다양한 연구를 수행하였다. B-GLS 기법을 이용하여, 국내 대유역에 골고루 위치하며 댐의 영향을 받지 않는 31개 지점의 연최대 일유량 시계열의 L-변동계수(L-moment coefficient variation)와 L-왜도계수(L-moment coefficient skewness)를 추정할 수 있는 회귀모형을 제안하였다. 위 회귀모형을 구성하기 위한 유역특성으로는 유역면적, 유역경사, 유역평균강우 등을 사용하였다. Bayesian-GLS(B-GLS) 적용 결과를 OLS(Ordinary Least Square) 및 B-GLS 기법에서 지점간의 상관관계를 고려하지 않는 Bayesian-WLS(Weighted Least Square)와 비교 평가하여 그 우수성을 입증하였다. 따라서 본 연구에서 제안된 B-GLS에 의한 지역회귀모형은 국내의 미계측유역이나 또는 관측 길이가 짧은 계측유역의 홍수빈도분석을 위해 매우 유용할 것으로 기대된다. 또한 수행된 연구의 내용을 공론화하는 노력이 계속된다면 공감대가 형성된 가이드라인을 제정되는데 일조를 하리라 확신한다.

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