• Communications for Statistical Applications and Methods
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• v.19 no.1
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• pp.177-182
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• 2012

A structural break in the level as well as in the innovation variance has often been exhibited in economic time series. In this paper we propose robust unit root tests based on a sign-type test statistic when a time series has a shift in its level and the corresponding volatility. The proposed tests are robust to a wide class of partially stationary processes with heavy-tailed errors, and have an exact binomial null distribution. Our tests are not affected by the size or location of the break. We set the structural break under the null and the alternative hypotheses to relieve a possible vagueness in interpreting test results in empirical work. The null hypothesis implies a unit root process with level shifts and the alternative connotes a stationary process with level shifts. The Monte Carlo simulation shows that our tests have stable size than the OLSE based tests.

• Journal of Korea Technology Innovation Society
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• v.3 no.3
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• pp.36-52
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• 2000

This study takes an issue of efficiency analysis in the presence of network effect utilizing the DEA (Data Envelopment Analysis) framework. Network effect has important policy implication for the regulation of local monopolies which undertake their business through physical network, such as electricity, natural gas, local telephony, etc. If the difference in spatial condition between companies is not controlled properly, the performance comparison and associated incentive regulation bear significant bias. In this study, we propose a methodology to measure the true managerial or technical efficiency apart from efficiency difference accruing from the difference in spatial condition. A series of modified DEA efficiency models are combined to investigate the extent of exogenous and endogenous efficiency component in the Korean natural gas distribution companies. Empirical results show that the network effect plays significant role in determining superficial performance difference.

• Journal of Korea Technology Innovation Society
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• v.1 no.3
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• pp.374-385
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• 1998

This study is estimates telephone service demand based on empirical studies of telecommunication service demand model. First, the telephone charge(call price index) by each location and subscription fee bring about a negative effect to telephone distribution rate: while the other explanatory variables bring about a positive effect. Second, the flexibility of telephone charge in A location(relevant location) and the flexibility between the distance of A location and B location are negative values, while the flexibility of other explanatory variables is represented in a positive value. This means that the long distance call numbers from A location to B location are in inverse proportion against the phone charge(call price index) of A location and against the distance between A location and the distance of other locations except A location, while they are in direct proportion with an average call number per minute from A location to other locations except A location, and also with subscription numbers of A location, other subscribers in locations other than A location, and the total expenditures of A location.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.05a
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• pp.25-36
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• 2004

The key objective of this paper is to suggest a pilot model for mobile network interconnection charge calculation by bottom-up long-run incremental costing methodology. Interconnection issues have lately attracted considerable attention by network operators and regulators. However there is no standard by all the network operators' agreement. The costing method is an acute problem because the interconnection charge is directly related to the network operators' revenue. Thus Korea has planned to launch the new interconnection policy based on the current traffic distribution and then we simulate the model in a sample area with virtual data. The results propose objective and reasonable guideline for the mobile network element cost calculation. It can be helpful for calculating price floor or bottom-up long run incremental interconnection charge by regulator.

• Asian Journal of Innovation and Policy
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• v.6 no.3
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• pp.332-353
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• 2017

This paper highlights how Thailand upgrades its positions in global value chains in high-tech, mid-tech and low-tech industries represented by electronics, automotive and frozen seafood, respectively. In the electronics industry, there are not many capable firms in the upstream segment like semiconductors. Nevertheless, transnational corporations in segment like hard disk drive began to invest in process R&D and collaborate more with local suppliers, universities and public research institutes in human resource and technological development. In the automotive industry, several Japanese car manufacturers such as Toyota, Honda, Nissan, and Isuzu set up R&D/Technical centres in Thailand since 2000s. This prompted Japanese and local part suppliers to also invest more in engineering, design and development activities. Some local universities offer as well engineering programmes specifically targeting the automotive industry. In the frozen seafood industry, several Thai firms have developed new ready-to-eat products, own brands and international distribution networks. They started to become transnational corporations investing in both developing and developed countries.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.736-740
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• 1991

EEG(Electroencephalogram) background signals can be represented as the sun of a conventional AR(Autoregressive) process and an innovation process, or a prediction error process. We have seen that conventional estimation techniques. such as least square estimates(LSE) or Gaussian maximum likelihood estimates(MLE-G) are optimal when the innovation process satisfies the Gaussian or presumed distribution. But when the data are contaminated by outliers, or artifacts, these assumptions are not met and conventional estimation techniques can badly fall and be strongly biased. It is known that EEG can be easily affected by artifacts. So we suggest a robust estimation technique which considerably performs well against those artifacts.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.249-265
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• 1997

With current difficulties in Korean agricultural sector, the biotechnology is considered as the most important factor to offset the inferiority in the agriculture. New products by using the biotechnology would be commercialized and consumed by both producers and consumers. Before its production and distribution, researches on new product should be undertaken in many aspects, especially in terms of economic aspects. Main objectives of this study are to measure the economic value of the new product using the agro-biotechnology, here potato microtubers, and to examine whether the stated peferences theory, the Contingent Valuation Method(CVM), could be accepted in the economic analysis for the new biotech product. Through the demand function derived from the consequences of functional relationship relationship, the consumer's surplus was estimated.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.2
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• pp.59-66
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• 2016

Dynamic changes in the field of labor relations have become a general trend in the world practice. These changes are due the impact of globalization and technological innovation above all. Concept of "precarization of employment" appeared due the new emerging labor relations. This term has been used for more than thirty-five years, but there is still no generally accepted definition of it. A wide range of authors' viewpoints on problem of precarization makes it vague and impossible to strictly to identify its borders. Features of its manifestations in different countries also complicate the problem. Kazakhstan is a country with export-oriented economy of raw materials. At the same time government try to solve the problem for the industrial-innovative development of the economy. These two factors bring additional specific features in the manifestation of the precarization of employment in the country. The aim of the paper is to identify the features of "precarization of employment" concept in Kazakhstan's practice, based on the proposed definition.

• Journal of Biomedical Engineering Research
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• v.13 no.2
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• pp.125-132
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• 1992

Background EEG signals can be represented as the sum of a conventional AR process and an innovation process. It Is know that conventional estimation techniques, such as least square estimates (LSE) or Gaussian maximum likelihood estimates (MLE-G ) are optimal when the innovation process satisfies the Gaussian or presumed distribution. When the data are contaminated by outliers, however, these assumptions are not met and the power spectrum estimated by conventional estimation techniques may be fatally biased. EEG signal may be affected by artifacts, which are outliers in the statistical term. So the robust filtering estimation technique is used against those artifacts and it performs well for the contaminated EEG signal.

• Journal of Technology Innovation
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• v.6 no.2
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• pp.178-207
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• 1998

This article suggests a methodology to decide the priority of investment project for venture business under the dynamic circumstance. By the Monte Carlo procedure on the probability distribution of cost and revenue, the model simulates the investment project to estimate profit ratio and risk. The profit ratio is calculated on the yearly basis for the relative comparison. The project risk is calculated as semi-variance under the target yield. After sufficient simulations in this fashion for several projects, the efficient projects with more profit and less risk are selected by the dominance principle. Then the regression equation of the selected projects is produced to find the relative value of the projects. The relative value is obtained through dividing the raw profit ratio by the estimated one on the equation. This value shows the degree to which the simulated project yields over the equation. The priority of investment is decided by this value. An examplary venture business of chemical development for semi-conductor is presented as a case study.