• Journal of the Korean Society of Marine Environment & Safety
• /
• v.19 no.3
• /
• pp.257-263
• /
• 2013

The classification of risk factors and the identification of risk acceptance criteria are core works to assess risk levels with high enough confidential level in the field of marine traffic environment. In the previous study work, the twenty kinds of risk factors and its assessment criteria for the domestic marine traffic environment were proposed. In this paper, with these previous studying results, the relative importance of the risk factors were analyzed by questionnaire survey of marine traffic experts using the analytic hierarchy process. The analysis results showed that the relative importance of the visibility restriction is the highest among the twenty kinds of risk factors, and the relative importance of the traffic condition is the highest among the five kinds of risk categories. As results from analysis, it is expected that the approaching method on the relative importance is to be one of basic techniques for the development of risk assessment models in the domestic marine traffic environment.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.2
• /
• pp.1036-1044
• /
• 2015

This paper estimates the relative risk aversion coefficients of apple farmers. Two hypothetical situations are designed and two-stage questionnaires are conducted for each situation. A utility function that has constant relative risk aversion was used, and it was assumed that the relative risk aversion coefficients follow a log-normal distribution. To reduce the hypothetical bias, the data was collected from repetitive questions. As a result, the mean and standard deviation of the relative risk aversion coefficients of apple farmers was 10.915 and 7.516, respectively. The relative risk aversion coefficients conditional on a survey response in each category were also measured. These findings can be used as parameters to analyze the effects of risk management tools.

• Journal of the Korean Society of Safety
• /
• v.31 no.1
• /
• pp.1-6
• /
• 2016

Severity and frequency of industrial accidents are typically used to assess the "absolute" risk associated with the industrial machines and devices ("items") which are subject to safety certification or self-declaration of conformity. However, the "relative" risk associated with a particular item can further be assessed based on unit severity and unit frequency where the total number of item in use is taken into account. This study first attempts to estimate the total number of each item in use which was recently selected for safety certification or self-declaration of conformity. The appropriateness of such selection is recapitulated based on the relative risk involved. Analysis results indicate that depending on items, the relative risk is differentiated from the absolute risk. Recent selection of items for safety certification or self-declaration of conformity is then revisited for its validity. The relative risk based on unit severity and unit frequency of industrial accidents, together with the absolute risk, may be used to further categorize items for safety certification or self-declaration of conformity in the future.

• Environmental Analysis Health and Toxicology
• /
• v.25 no.2
• /
• pp.169-177
• /
• 2010

Ecological risk assessment (ERA) has been used to establish environmental quality standards or evaluate ecological risk in site-specific areas. The scope of ERA was expanded based on regions, and the concept of regional-scale ecological risk assessment was recently introduced in developed countries. In the present study, regional ERA approaches of relative risk model (RRM), contaminants in aquatic and terrestrial ecosystems (CATS) model, and procedure for ecological tired assessment of risks (PETAR) in advanced countries were extensively investigated. Regional ERA was compared with traditional ERA process. Stressors, receptor and response in traditional ERA were replaced with sources of stressors, habitats, and ecological impacts, respectively in regional ERA. This study introduces the concept and assessment process of regional ERA, and provides a wide perspective how the relative ERA could be applied in Korean ecosystem.

• Journal of Korean Institute of Industrial Engineers
• /
• v.15 no.2
• /
• pp.33-44
• /
• 1989

This paper presents stochastic-statistical dominance rules which eliminate dominated alternatives thereby reduce the number of satisficing alternatives to a manageable size so that the decision maker can choose the best alternative among them when neither the utility function nor the probability distribution of outcomes is exactly known. Specifically, it is assumed that only the characteristics of the utility function and the value function are known. Also, it is assumed that prior probabilities of the mutually exclusive states of nature are not known, but their relative bounds are known. First, the notion of relative risk aversion is used to describe the decision maker's attitude toward risk, which is defined with the acknowledgement that the utility function of the decision maker is a composite function of a cardinal value function and a utility function with-respect to the value function. Then, stochastic-statistical dominance rules are developed to screen out dominated alternatives according to the decision maker's attitude toward risk represented in the form of the measure of relative risk aversion.

• The Korean Journal of Applied Statistics
• /
• v.19 no.1
• /
• pp.163-170
• /
• 2006

The argument concerning the choice of effect measure for epidemiologic data or clinic data has been renewed. But the relationships among effect measures can be confusing if effect measures are expressed by conventional mathematical functions alone. In this article, risk difference(RD), relative risk(RR), and odds ratios(OR) for binary data are presented by radar diagram instead of mathematical functions and the relationships among them are showed using radar diagram. This radar diagram is offered flexible conceptual tool to understand effect measures, DR, RR, and OR for binary data.

• Journal of the Korean Data and Information Science Society
• /
• v.10 no.1
• /
• pp.103-110
• /
• 1999

In this paper, we summarize some relative risk estimators under the two sample model with proportional hazard and examine the relative efficiencies of the nonparametric estimators relative to the maximum likelihood estimator of a parametric survival function under random censoring model by comparing their asymptotic variances.

• Journal of the Korean Data and Information Science Society
• /
• v.20 no.2
• /
• pp.349-356
• /
• 2009

In this study, we suggest the estimation method of the relative risk for the unemployment statistics of a small area such as si, gun, gu in Korea. The considered method are the usual pooled estimator, weighted estimator with the inverse of log-variance as weights, and the Jackknife estimator. And we compare with the efficiency of the three estimators by estimating the bias and mean square errors using real data from the 2002 Economically Active Population Survey of Gyeonggi-do. We compute the unemployed rate of male and female in small areas, and then estimate the common relative risk for the unemployed rate between male and female. Also, the stability and reliability of the three estimators for the common relative risk was evaluated using the RB(relative bias) and the RRMSE(relative root mean square error) of these estimators. Finally, the Jackknife estimator turned out to be much more efficient than the other estimators.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.4
• /
• pp.1349-1364
• /
• 2006

An analytic approach that provides explicit estimates of risk on cataract and epilation data is evaluated by reasonableness of conceivable relative risk models regarding a simple, odds, logistic or Gompertz regression method, assuming a binomial distribution. In these analyses, we apply relative risk models with two thresholds between epilators and nonepilators from a highly characteristic lesion of which radiation cataract does not occur around 2 gray for a single acute exposure. The risk models are fitted to the data assuming 10 as a constant relative biological effectiveness of neutron. The likelihood of observing the entire data set in these models fitted is evaluated by an individual binary-response array. Estimation of a threshold with or without severe epilation and the 100 ($1-\alpha$)% confidence limits are derived from the maximum likelihood approach. The relative risk model with two thresholds can be expressed as a formula with structure of Background $\times$ RR, where RR includes threshold models with or without epilation. The radiosensitivity of ionizing radiation to cataracts has been examined for the relationship between epilators and nonepilators.

• Communications for Statistical Applications and Methods
• /
• v.14 no.2
• /
• pp.317-327
• /
• 2007

In this paper, we propose a simple estimate of relative risk based on a functional equation. We derive the asymptotic normality with a restricted condition. Then we discuss some interesting features as concluding remarks. Finally we comment briefly about application of the estimate to the testing problems and compare our estimate with that of Begun through simulation study.