• Title/Summary/Keyword: distributional analysis

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A Bioeconomic Analysis of the Management Policies for the United States Gulf of Mexico Red Grouper Fishery

  • Kim, Do-Hoon
    • Ocean and Polar Research
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    • v.25 no.4
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    • pp.483-491
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    • 2003
  • Since the red grouper was declared overfished, the Gulf of Mexico Fishery Management Council must prepare a rebuilding plan considering the following alternative management policies: a Total Allowable Catch (TAC), 5-month season closure, 1800-pound trip limit, and a 50-fathom longline boundary. This study was aimed at evaluating the effects of proposed policies for rebuilding the red grouper stock in a 10-year period by developing a bioeconomic model. Under the assumption that the recreation sector was held to its share of TAC (24% of the total quota), the target stock biomass goal was attained in all policies. The NPV was the largest in the 5-month season closure policy if the output price did not fall. There were distributional effects on the different components of the fleets in the 1800-pound trip limit and the 50-fathom longline boundary policy.

Statistical Properties of News Coverage Data

  • Lim, Eunju;Hahn, Kyu S.;Lim, Johan;Kim, Myungsuk;Park, Jeongyeon;Yoon, Jihee
    • Communications for Statistical Applications and Methods
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    • v.19 no.6
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    • pp.771-780
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    • 2012
  • In the current analysis, we examine news coverage data widely used in media studies. News coverage data is usually time series data to capture the volume or the tone of the news media's coverage of a topic. We first describe the distributional properties of autoregressive conditionally heteroscadestic(ARCH) effects and compare two major American newspaper's coverage of U.S.-North Korea relations. Subsequently, we propose a change point detection model and apply it to the detection of major change points in the tone of American newspaper coverage of U.S.-North Korea relations.

An Empirical Study on Dimension Reduction

  • Suh, Changhee;Lee, Hakbae
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2733-2746
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    • 2018
  • The two inverse regression estimation methods, SIR and SAVE to estimate the central space are computationally easy and are widely used. However, SIR and SAVE may have poor performance in finite samples and need strong assumptions (linearity and/or constant covariance conditions) on predictors. The two non-parametric estimation methods, MAVE and dMAVE have much better performance for finite samples than SIR and SAVE. MAVE and dMAVE need no strong requirements on predictors or on the response variable. MAVE is focused on estimating the central mean subspace, but dMAVE is to estimate the central space. This paper explores and compares four methods to explain the dimension reduction. Each algorithm of these four methods is reviewed. Empirical study for simulated data shows that MAVE and dMAVE has relatively better performance than SIR and SAVE, regardless of not only different models but also different distributional assumptions of predictors. However, real data example with the binary response demonstrates that SAVE is better than other methods.

Morphometric analysis of the Daphne kiusiana complex (Thymelaeaceae) using digitized herbarium specimens

  • KIM, Yoon-Su;OH, Sang-Hun
    • Korean Journal of Plant Taxonomy
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    • v.52 no.3
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    • pp.144-155
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    • 2022
  • Daphne kiusiana is an evergreen shrub with dense head-like umbels of white flowers distributed in southern Korea, Japan, China, and Taiwan. Plants in China and Taiwan are recognized as var. atrocaulis by having a dark purple stem, elliptic leaves, and persistent bracts. Recently, plants on Jejudo Island were segregated as a separate species, D. jejudoensis, given their elliptic leaves with an acuminate apex, a long hypanthium and sepals, and a glabrous hypanthium. Morphological variations of three closely related taxa, the D. kiusiana complex, were investigated across the distributional range to clarify the taxonomic delimitation of members of the complex. Twelve characters of the leaf and flower were measured from digitized herbarium specimens using the image analysis program ImageJ and were included in a morphometric analysis, the results of which indicate that the level of variation in the characters is very high. The results of a principal component analysis weakly separated D. jejudoensis from D. kiusiana according to their floral characteristics, such as a longer, glabrous hypanthium, and larger sepals. However, some individuals of D. kiusiana, particularly those from Bigeumdo Island, were included in D. jejudoensis. Recognition of D. kiusiana var. atrocaulis based on the leaf shape was not supported in the analysis, and D. jejudoensis may be recognized as a variety of D. kiusiana. Our morphometric analysis shows that digitized images of herbarium specimens could be useful and an additional method by which to investigate more diverse specimens.

Bayesian quantile regression analysis of Korean Jeonse deposit

  • Nam, Eun Jung;Lee, Eun Kyung;Oh, Man-Suk
    • Communications for Statistical Applications and Methods
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    • v.25 no.5
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    • pp.489-499
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    • 2018
  • Jeonse is a unique property rental system in Korea in which a tenant pays a part of the price of a leased property as a fixed amount security deposit and gets back the entire deposit when the tenant moves out at the end of the tenancy. Jeonse deposit is very important in the Korean real estate market since it is directly related to the residential property sales price and it is a key indicator to predict future real estate market trend. Jeonse deposit data shows a skewed and heteroscedastic distribution and the commonly used mean regression model may be inappropriate for the analysis of Jeonse deposit data. In this paper, we apply a Bayesian quantile regression model to analyze Jeonse deposit data, which is non-parametric and does not require any distributional assumptions. Analysis results show that the quantile regression coefficients of most explanatory variables change dramatically for different quantiles. The regression coefficients of some variables have different signs for different quantiles, implying that even the same variable may affect the Jeonse deposit in the opposite direction depending on the amount of deposit.

Analysis of the Distributional Effects of Radioactive Materials on External Gamma Exposure (방사성물질의 분포특성에 따른 외부 감마피폭해석)

  • Han, Moon-Hee;Kim, Eun-Han;Suh, Kyung-Suk;Hwang, Won-Tae;Choi, Young-Gil
    • Journal of Radiation Protection and Research
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    • v.23 no.4
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    • pp.211-218
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    • 1998
  • The distributional effects of radioactive materials on external gamma exposure have been analyzed. An approximate method for estimating external gamma dose given from an arbitrary distribution of radioactive material has been developed. The minimum gamma exposure given from a point source is shown at 0.07 MeV if the source to receptor distance is shorter than 10 m. But if the receptor to point source distance is longer than 20 m, gamma exposure rate increases monotonously according to the average gamma energy. For the analysis of the effects of volume source, we estimated the gamma dose given from different size of hemisphere in which radioactive materials are distributed uniformly. When the radius of hemisphere is longer than 40 m, external gamma dose rate increases monotonously. The gamma dose rate given from the radioactive materials deposited on the ground shows the minimum value at 0.07 MeV in any case. The analysis shows that external gamma exposure is strongly dependent on the distribution of radioactive materials in the environment and gamma energy.

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Assessing the public preference and acceptance for renewable energy participation initiatives - focusing on photovoltaic power (재생에너지 사업 참여에 대한 국민 선호와 수용성 분석 - 태양광 발전을 중심으로)

  • Ham, AeJung;Kang, SeungJin
    • Journal of Energy Engineering
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    • v.27 no.4
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    • pp.36-49
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    • 2018
  • This study analyzed the public preference and acceptance regarding renewable energy projects through Choice Based Conjoint Analysis. The results show that the surveyed respondents consider the leading authority of the projects, as the most important factor when considering participating in renewable energy initiatives. Following this, the mode of participation and profit distribution and the power plant location are also viewed as important, whereas participation through decision making regarding the projects was less important. Also when participating in renewable energy projects, respondents tend to prefer to financially participating through loans or owning shares rather than volunteering support for the business such as sharing information, stating one's views, or providing cooperation and coordination. Therefore, the focus is on distributional justice, such as financial investment and profit distribution, rather than procedural justice, for instance decision making. When analyzing the part-worths utilities for the participation attribute, the respondents most preferred to receiving dividends based on earnings by owning shares with the local government in charge of the entire projects. As a consequence, the results suggest that it is important to have local government get involved and have trust-worthy governing systems in place for the initiation of the public participating-renewable energy projects.

Prediction of Customer Failure Rate Using Data Mining in the LCD Industry (LCD 디스플레이 산업에서 데이터마이닝 알고리즘을 이용한 고객 불량률 예측)

  • You, Hwa Youn;Kim, Seoung Bum
    • Journal of Korean Institute of Industrial Engineers
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    • v.42 no.5
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    • pp.327-336
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    • 2016
  • Prediction of customer failure rates plays an important role for establishing appropriate management policies and improving the profitability for industries. For these reasons, many LCD (Liquid crystal display) manufacturing industries have attempted to construct prediction models for customer failure rates. However, most traditional models are based on the parametric approaches requiring the assumption that the data follow a certain probability distribution. To address the limitation posed by the distributional assumption underpinning traditional models, we propose using parameter-free data mining models for predicting customer failure rates. In addition, we use various information associated with product attributes and field return for more comprehensive analysis. The effectiveness and applicability of the proposed method were demonstrated with a real dataset from one of the leading LCD companies in South Korea.

A Comparative Study of Syllable Structures between French and Korean in Real Utterances (실제 발화 상황에서 프랑스어와 한국어의 음절구조 비교)

  • Lee, Eun-Yung
    • Speech Sciences
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    • v.10 no.2
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    • pp.237-248
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    • 2003
  • This paper compares the syllable structure of French and Korean analyzing the speech data of these two languages recorded during the actual speech. Reference to the syllable structure of French is made from F. Wioland's research data. As for the Korean data, the primary data are drawn from the 30-minute radio interview in which two male TV anchors in their early 60s talk to each other. The secondary source of the data is collected by having the primary data replicated by the two male announcers in their early 20's broadcasting in the university ra야o station of KAIST. With reference to the data collected in French and Korean, this paper provides the statistical frequency of each type of syllable structure in each language through the acoustic analysis of the spectrograms and renders a phonetic account of the characteristics of each syllable type in the two languages. Also discussed in this paper is the distributional condition in which each syllable structure is laid out in the speech context.

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A study on the efficient intermodal transportation system to increase the transportation demand : An empirical analysis of Kyungbu High Speed Railway (경부고속철도 수요확충을 위한 교통체계 구축방안 연구)

  • 이진선;김현웅
    • Proceedings of the KSR Conference
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    • 2001.10a
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    • pp.104-110
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    • 2001
  • During the last several years, the high speed railway system has been constructed and it is scheduled to open sometime in 2004. To fulfil its duties, it is essential to view intermodalism in the context of broader technological developments in easy access to high speed railway station. And also, to understand the economic importance of intermodal transportation, continual research is needed on the costs and distributional effects of alternative intermodal mechanisms for public works, including direct service to local station or easy transfer to other mass transportation modes. In this paper, necessary courses for local governments involvement are taken, and additional resources must be found that will benefit the entire railway system.

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