• Asian Journal for Public Opinion Research
• /
• v.11 no.1
• /
• pp.31-53
• /
• 2023

This study aims to investigate the relationship between human resource competency, economic potential, and productivity of village-based enterprises, as well as understand the role of governance in mediating this relationship. This study was conducted in several village-based enterprises in Bali, Indonesia and the data were collected using questionnaires. Furthermore, the collected data were analyzed quantitatively using partial least analysis to confirm the relationship between variables. The findings indicate that human resource competency has an impact on governance, but it failed to explain the productivity of village-based enterprises. In addition, economic potential can have an impact on the governance and productivity of village-based enterprises in Bali, Indonesia. This study also showed a robust link between governance and productivity. Lastly, based on the statistical analysis, it was found that governance can mediate the relationship between human resource competency, economic potential, and productivity of village-based enterprises.

• Communications for Statistical Applications and Methods
• /
• v.20 no.2
• /
• pp.147-155
• /
• 2013

To determine whether each coefficient is equal to zero or not, usual $t$-tests are a popular choice (among others) in linear regression to practitioners because all statistical packages provide the statistics and their corresponding $p$-values. Under smaller samples (especially with non-normal errors) the tests often fail to correctly detect statistical significance. We propose a permutation approach by adopting a sufficient dimension reduction methodology to overcome this deficit. Numerical studies confirm that the proposed method has potential advantages over the t-tests. In addition, data analysis is also presented.

• Nuclear Engineering and Technology
• /
• v.54 no.1
• /
• pp.414-422
• /
• 2022

Presented in this paper is a methodology for combining a Bayesian statistical approach with Data Quality Objectives (a structured decision-making method) to provide increased levels of confidence in analytical data when approaching a waste boundary. Development of sampling and analysis plans for the characterisation of radioactive waste often use a simple, one pass statistical approach as underpinning for the sampling schedule. Using a Bayesian statistical approach introduces the concept of Prior information giving an adaptive sample strategy based on previous knowledge. This aligns more closely with the iterative approach demanded of the most commonly used structured decision-making tool in this area (Data Quality Objectives) and the potential to provide a more fully underpinned justification than the more traditional statistical approach. The approach described has been developed in a UK regulatory context but is translated to a waste stream from the Fukushima Daiichi Nuclear Power Station to demonstrate how the methodology can be applied in this context to support decision making regarding the ultimate disposal option for radioactive waste in a more global context.

• Journal of Korean Academy of Nursing
• /
• v.28 no.4
• /
• pp.1003-1012
• /
• 1998

The purpose of this research was to identify the effect of human potential seminars on the perceived stigma of adults with epilepsy. The research employed a quasi experimental design and unequivalent control group pre-post design. The test was conducted on 15 adults with epilepsy attending one psychiartric out-patient clinic in Masan City, Korea. The stigma questionnaire was used as a pre-test to these patients. HPS was done ten times for five weeks from May 6, to July 26, 1996. The stigma questionnaire was again given, but this time as a post test. The control group of 14 adults with epilepsy were receiving medication at the same clinic. The human potential seminars were structured by McHolland(1972) and translated by Lee, Hae Seung(1990). The stigma research tool was modified and revised to be appropriate to Korean culture. It consisted of 15 sentences. The internal consistency was 0.92 with Cronbach's α. Research results are as follows. 1) To determine the homogenity of the experimental and control groups, the pre-stigma results were used and democratic-sociologic characteristics, job characteristics and disease related variables were compared. There was no significant difference between the two groups. 2) To identify the relationship between stigma and patient characteristics a pre-test was done. The study used both Mann-Whitney U-test and ANOVA test for statistical analysis. The variables related to stigma were the reason of unemployment and age at onset of epilepsy. 3) The test results of the effect of the human potential seminars on stigma in the patients with epilepsy, showed that stigma in the experimental group was lower than in the control group. The statistical method used to determine the difference between pre and post stigma results was the Wilcoxon signed rank test. The test results were statistically significant at the one percent level. 4) As a follow-up evaluation ten more patients(66.7% of the total) were additionally tested. In order to investigate if the stigmas were different between the pre, post and follow-up, Repeated measure ANOVA was used. The test results showed that the stigma scores were statistically different between the three groups at the one percent level(F=10.06, d.f.=2, p=0.00).

• Journal of the Korean Statistical Society
• /
• v.22 no.2
• /
• pp.235-247
• /
• 1993

The predictive density function of a potential future observation and its first four moments are obtained in this paper to study the effects of a non-normal prior of the unknown mean of a normal population. The derived predictive density function is modified to study changes in utility curves, used to choose the optimum treatment from a given set of treatments, at a given level of stimulus due to slight deviations from normality of the prior distribution. Numerical illustrations are provided to exhibit some effectsl.

• Atmosphere
• /
• v.24 no.4
• /
• pp.533-540
• /
• 2014

Statistical forecast models for the prediction of the summertime Changma precipitation have been developed in this study. As effective predictors for the Changma precipitation, the springtime sea surface temperature (SST) anomalies over the North Atlantic (NA1), the North Pacific (NPC) and the tropical Pacific Ocean (CNINO) has been suggested in Lee and Seo (2013). To further improve the performance of the statistical prediction scheme, we select other potential predictors and construct 2 additional statistical models. The selected predictors are the Northern Indian Ocean (NIO) and the Bering Sea (BS) SST anomalies, and the spring Eurasian snow cover anomaly (EUSC). Then, using the total three statistical prediction models, a simple ensemble-mean prediction is performed. The resulting correlation skill score reaches as high as ~0.90 for the last 21 years, which is ~16% increase in the skill compared to the prediction model by Lee and Seo (2013). The EUSC and BS predictors are related to a strengthening of the Okhotsk high, leading to an enhancement of the Changma front. The NIO predictor induces the cyclonic anomalies to the southwest of the Korean peninsula and southeasterly flows toward the peninsula, giving rise to an increase in the Changma precipitation.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2006.10a
• /
• pp.3-20
• /
• 2006

The following lessons have been learned from the application of reliability methods in the practice of geotechnical engineering: 1. Establishing Goals Is Important; 2. Mitigating Consequences Can Be Effective; 3. Performance Depends on Systems; 4. Physical Factors Are Important in Statistical Models; 5. Too Much and Too Little Conservatism Are Both Problems; 6. Value of Information Depends on Decision Making; and 7. Effective Communication Is Essential. While the potential for application of reliability methods in the future is unlimited, there are major needs related to each of these lessons that will have to be addressed in order to realize this potential.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.6
• /
• pp.133-143
• /
• 2020

The purpose of this study is to investigate the economic potential of the regions from the mining sector of North Morowali, Central-Sulawesi, Indonesia, and the formulation of pro-business regional development management that aims to create synergy between the local government and mining sector entrepreneurs. This study uses a descriptive qualitative approach by taking data in the form of primary data from FGD and secondary data observations from statistical bureau data in the North Morowali, Indonesia. The analysis unit uses SWOT analysis to determine the economic potential of the North Morowali and Location Quotient (LQ) to analyze the economic potential of the mining sector. The research period covers one year (2018-2019) in North Morowali, Indonesia. All the mining products have considerable potential as a financing unit in North Morowali, while mining potential has not been maximally exploited. The absence of regulations, facilities such as road access, and optimal land and sea transportation are the causes of the difficulty of optimization and access to explore mining products comprehensively. As a new province at Central Sulawesi, more efforts and the role of government are needed to focus attention to North Morowali as an area with great potential in the mining sector.

• Wind and Structures
• /
• v.31 no.4
• /
• pp.311-319
• /
• 2020

India is a developing nation and heavily spends on the development of wind power plants to meet the national energy demand. The objective of this paper is to investigate wind power potential of Ennore site using wind data collected over a period of two years by three parameter Weibull distribution. The Weibull parameters are estimated using maximum likelihood, least square method and moment method and the accuracy is determined using R² and root mean square error values. The site specific capacity factor is calculated by the mathematical model developed by three parameter Weibull distribution at different hub heights above the ground level. At last, the wind energy economic analysis is carried out using capacity factor at 30 m, 40 m and 50 m height for different wind turbine models. The analysis showed that the site has potential to install utility wind turbines to generate energy at the lowest cost per kilowatt-hour at height of 50 m. This research provides information of wind characteristics of potential sites and helps in selecting suitable wind turbine.

• Journal of Biomedical Engineering Research
• /
• v.17 no.2
• /
• pp.179-188
• /
• 1996

A clinically oriented 32-channel electroencephalogram (EEG) and evoked potential (EP) mapping system has been developed EEG and EP signals acquired from 32-channel electrodes attached on the heroid surface are amplified by a pre-amplifier which is separated from main amplifier and is located near the patient to reduce signal attenuation and noise contamination between electrodes and the amplifier. The amplified signals are further amplified by a main amplifier where various filtering and gain contr61 are achieved An automatic artifact rejection scheme is employed using neural network-based EEG and artifact classifier, by which examination time is substantially reduce4 The continuously measured EEG sigrlals are used for spectral mapping, and auditory and visual evoked potentials measured in synchronous to the auditory and visual stimuli are used for temporal evoked potential mapping. A user-friendly graphical interface based on the Microsoft Window 3.1 is developed for the operation of the system. Statistical databases for comparisons of group and individual are included to support a statistically-based diagnosis.