• Communications for Statistical Applications and Methods
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• v.15 no.3
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• pp.367-378
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• 2008

In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and the location parameter in a double Rayleigh distribution based on multiply Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.125-131
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• 2021

Detecting fraudulent insurance claims is difficult due to small and unbalanced data. Some research has been carried out to better cope with various types of fraudulent claims. Nowadays, technology for detecting fraudulent insurance claims has been increasingly utilized in insurance and technology fields, thanks to the use of artificial intelligence (AI) methods in addition to traditional statistical detection and rule-based methods. This study obtained meaningful results for a fraudulent insurance claim detection model based on machine learning (ML) and deep learning (DL) technologies, using fraudulent insurance claim data from previous research. In our search for a method to enhance the detection of fraudulent insurance claims, we investigated the reinforcement learning (RL) method. We examined how we could apply the RL method to the detection of fraudulent insurance claims. There are limited previous cases of applying the RL method. Thus, we first had to define the RL essential elements based on previous research on detecting anomalies. We applied the deep Q-network (DQN) and double deep Q-network (DDQN) in the learning fraudulent insurance claim detection model. By doing so, we confirmed that our model demonstrated better performance than previous machine learning models.

• Journal of Navigation and Port Research
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• v.26 no.1
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• pp.66-77
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• 2002

Generally hull insurance is undertaken by mean of a contract of hull insurance. A contract of hul1 insurance here is a contract whereby the insurer undertakes to indemnify the assured against the loss and damage to the vessel mused by maritime perils. A contract of hull insurance is consists of printed main insurance clauses and a clause includes many sub-clauses. Now the Institute Time Clauses-Hulls (hereunder refer to as "English hull insurance clauses"made by the Institute of London Underwriters is much used as the standard from or basic from by many countries ail over the world Now Korean insurance companies hue not made our their own hull insurance clauses, they have just adopted the made-out English hull insurance clauses and the english law and practice to solve the problem related to marine insurance. On the other hand, the United States of America and Japan have made out their own hull insurance clauses based on English hull insurance clauses and used the clauses for many years. Now American is using American Institute Hull Clauses(hereunder refer to as "American hul1 insurance clauses"as its own clauses which was made out by American Institute of Marine Underwriters in 1977 and Japan is also wing its own clauses named Japanese Hull Standard Clauses(hereunder refer to as "Japanese hull clauses") which was made out by japanese Hull Insurance Association in 1990. Therefore the purpose of this study is not only to make a comparative study on English hull insurance clauses 1995, American hull insurance clauses 1977 and Japanese hull clauses l990, but also to supply on some legal materials necessary for Korea to establish and perform our own hull insurance clauses.

• Communications for Statistical Applications and Methods
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• v.22 no.6
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• pp.557-573
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• 2015

In this paper we develop a Bayesian inference for a multiplicative double seasonal autoregressive (DSAR) model by implementing a fast, easy and accurate Gibbs sampling algorithm. We apply the Gibbs sampling to approximate empirically the marginal posterior distributions after showing that the conditional posterior distribution of the model parameters and the variance are multivariate normal and inverse gamma, respectively. The proposed Bayesian methodology is illustrated using simulated examples and real-world time series data.

• The Korean Society of Law and Medicine
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• v.10 no.2
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• pp.287-307
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• 2009

A person is injured in car accident caused by his/her slight negligence except he / she causes accident by his / her willfulness or gross negligence. Because the National Health Insurance Corporation (hereinafter called "Corporation") shall not provide any insurance benefit "when he has intentionally or through gross negligence caused a criminal conduct or intentionally contributed to the occurrence of an accident" referred to in Article 48 (1) 1 of the National Health Insurance Act. So, if he / she is insured by his / her own bodily injury coverage, he / she can be compensated for his / her medical expenses. The injured have the rights to file either National Health Insurance claim and Automobile Insurance claim but there is no clear and definite adjustment clause. The claim disputes between National Health Insurance (hereinafter called "NHI") and Automobile Insurance (hereinafter called "AI") in the own bodily injury coverage makes some problems. Firstly, there are some differences in co-payments which he / she chooses between NHI and AI. Profit per a patient is higher in the NHI than in the AI. Secondly, it can provoke criticism that people shall unnecessarily pay double contributions. Lastly, it can raise moral hazards. For example, if he / she can cover the compensations when the insured receives the compensations from his / her insurer, the Corporation can be claimed by medical care institution payment of the health care benefit costs. In conclusion, first of all, to improve the national health and preserve the insured's rights the Corporation shall keep notice these facts.

• Communications for Statistical Applications and Methods
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• v.16 no.6
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• pp.1055-1066
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• 2009

Many articles have considered a hybrid censoring scheme, which is a mixture of Type-I and Type-II censoring schemes. We introduce a double hybrid censoring scheme and derive some approximate maximum likelihood estimators(AMLEs) of the scale parameter for the half logistic distribution under the proposed double hybrid censored samples. The scale parameter is estimated by approximate maximum likelihood estimation method using two different Taylor series expansion types. We also obtain the maximum likelihood estimator(MLE) and the least square estimator(LSE) of the scale parameter under the proposed double hybrid censored samples. We compare the proposed estimators in the sense of the mean squared error. The simulation procedure is repeated 10,000 times for the sample size n = 20(10)40 and various censored samples. The performances of the AMLEs and MLE are very similar in all aspects but the MLE and LSE have not a closed-form expression, some numerical method must be employed.

• KIEAE Journal
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• v.2 no.3
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• pp.39-45
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• 2002

Double facades are built to allow natural ventilation in high rise buildings and buildings with high outside noise level. In high rise Buildings the gains in summer can be reduced by sufficient sun protection devices placed outside the rooms in the ventilated space between the inner and outer facade. To evaluate the energetic performance, three buildings with double facade were monitored for at least one year (Siemens Building in Dortmund/Germany, Victoria Insurance Company in Duesseldorf/Germany and RWE Tower in Essen/Germany). The results document the indoor climate, the boundary conditions for further planning and the possibilities for high rise buildings without or with little cooling facilities.

• Health Policy and Management
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• v.16 no.1
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• pp.95-116
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• 2006

According to rapid increase of the population of senior citizens, there has been growing concern of Long-Tenn Care(LTC) services recently. Long-Tenn Care services, however, haven't been established systematically in Korea and the supply of LTC services is not sufficient despite the increase in the current social demand. This study aims to estimate the 'Willingness to Pay(WTP)' for LTC insurance which the government plans to introduce by means of social insurance, using Contingent Valuation Method(CYM). In addition, this study analyzes the factors affecting WTP for LTC insurance. An interview survey was carried out to derive WTP for LTC from 450 people who lived in Seoul aged 20 and above during the period from 16th to 21st of June 2003. Double-Bounded Dichotomous Choice Method was applied among several CVMs available to estimate both use value and no-use value of goods. There was pilot survey carried out prior to the main survey. The results show that the average monthly. WTP for LTC provided in home and residential setting is 18,192Won and 19,293Won, respectively. In the case of home care, WTP goes higher depending on reliability of LTC insurance policy and need for LTC insurance, as well as marital status, education and average monthly income. On the contrary, WTP is conversely affected by higher age and higher bids. In the case of institutional care, the factors affecting WTP are similar to those of home care, except age. This study followed NOAA's suggestions generally and the value derived through survey could be reliable. However, there can be the least bias in the process of survey because the CVM should be used under the supposed circumstances. Despite those limitations, it can be concluded that the amount the citizens are willing to pay for LTC is high enough to meet the costs needed to provide LTC.

• The Korean Society of Law and Medicine
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• v.15 no.2
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• pp.345-366
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• 2014

Because the health care or medical sector has such characteristics as publicity, professionality, and exclusivity, it cannot be left to the free market system. As a consequence, the state has restricted the establishment of medical institutions in order to protect the life and health of people. Also, the medical law has regulated to permit the establishment of medical institutions by only medical personnel and a few corporate bodies and to ban the establishment of medical institutions under disguised ownership as well as double opening of medical institutions by medical personnel. Nevertheless, there are still many cases that non-medical personnel have dominantly established medical institutions under disguised ownership of other medical personnel or nonprofit corporation. Because they are willing to recover their investment costs as soon as possible, these illegally established medical institutions are likely to make patients undergo unnecessary tests or to perform the excessive treatments and, as a result, are likely to cause infringement on the health and lives of the people. In addition, even if the misconduct is uncovered, the rate at which the costs already paid is very low and, as a result, the damages are straightly connected to the people's loss. On the other hand, there are also increasing number of cases that medical personnel or nonprofit corporations are establishing medical institutions against the medical law regulations. The examples of this illegality are also the double opening of medical institutions and the establishment of medical institutions under disguised ownership by medical personnel or nonprofit corporations. And the damages in these cases may not differ from those in the above cases. In this study, regarding medical law regulations restricting opening a medical institution, I will review the intent of those regulations, the type of violations and criminal punishments, and the possibility of recovery from unlawful profit by the National Health Insurance Act. And then, I would like to find a way for rational improvement of each.

• Safety and Health at Work
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• v.9 no.2
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• pp.140-143
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• 2018

Background: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT) is a practical instrument that is currently used in the German woodworking and metalworking industries to monitor safety conditions at workplaces. The 12-item scoring system has three subscales rating technical, organizational, and personnel-related conditions in a company. Each item has a rating value ranging from 1 to 9, with higher values indicating higher standard of safety conditions. Methods: The reliability of this instrument was evaluated in a cross-sectional survey among 128 companies and its validity among 30,514 companies. The inter-rater reliability of the instrument was examined independently and simultaneously by two well-trained safety engineers. Agreement between the double ratings was quantified by the intraclass correlation coefficient and absolute agreement of the rating values. The content validity of the OSH-MAT was evaluated by quantifying the association between OSH-MAT values and 5-year average injury rates by Poisson regression analysis adjusted for the size of the companies and industrial sectors. The construct validity of OSH-MAT was examined by principle component factor analysis. Results: Our analysis indicated good to very good inter-rater reliability (intraclass correlation coefficient = 0.64-0.74) of OSH-MAT values with an absolute agreement of between 72% and 81%. Factor analysis identified three component subscales that met exactly the structure theory of this instrument. The Poisson regression analysis demonstrated a statistically significant exposure-response relationship between OSH-MAT values and the 5-year average injury rates. Conclusion: These analyses indicate that OSH-MAT is a valid and reliable instrument that can be used effectively to monitor safety conditions at workplaces.