• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.117-130
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• 2021

This purpose of this study was to identify the factors that influence entrepreneurship education on entrepreneurship and entrepreneurial intention. The purpose of this study was to examine the relationship between entrepreneurship education and entrepreneurship intention, entrepreneurship, and entrepreneurship and entrepreneurship intention. For this purpose, the following empirical analysis was conducted on the research hypothesis set in the research model for 223 university students who took the course on entrepreneurship and entrepreneurship. First, as a result of examining the effect of the hypothesis 1 between entrepreneurship education and entrepreneurial intention, a positive effect was shown. Hypothesis 1 was accepted. Second, hypothesis 2, entrepreneurship education showed a positive (+) influence on entrepreneurship. Therefore, hypothesis 2 was accepted. Third, as a result of testing the hypotheses on the relationship between the three hypotheses on and entrepreneurial intention, statistically significant analysis was performed. Therefore, hypothesis 3 was accepted. In other words, the results of this study showed that entrepreneurship education acted as a positive factor on the entrepreneurial intention, and entrepreneurship and entrepreneurial spirit, like the results of previous studies. Therefore, as entrepreneurship education and entrepreneurship act as major factors to improve entrepreneurial intentions, the importance of upgrading systematic and substantial entrepreneurship education and education on substantial entrepreneurship was emphasized.

• Journal of Communications and Networks
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• v.14 no.5
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• pp.481-486
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• 2012

Accurate and efficient estimation of the number of sources is critical for providing the parameter of targets in problems of array signal processing and blind source separation among other such problems. When conventional estimators work in unfavorable scenarios, e.g., at low signal-to-noise ratio (SNR), with a small number of snapshots, or for sources with a different strength, it is challenging to maintain good performance. In this paper, the detection limit of the minimum description length (MDL) estimator and the signal strength required for reliable detection are first discussed. Though a comparison, we analyze the reason that performances of classical estimators deteriorate completely in unfavorable scenarios. After discussing the limiting distribution of eigenvalues of the sample covariance matrix, we propose a new approach for estimating the number of sources which is based on a sequential hypothesis test. The new estimator performs better in unfavorable scenarios and is consistent in the traditional asymptotic sense. Finally, numerical evaluations indicate that the proposed estimator performs well when compared with other traditional estimators at low SNR and in the finite sample size case, especially when weak signals are superimposed on the strong signals.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.31-38
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• 2021

This study contributes to the existing literature and tries to analyze the validity of the Fisher hypothesis in the Philippines. Using monthly data from January 1995 to December 2020, the empirical analysis used the Engle-Granger and Johansen cointegration testing technique. The correlation coefficient suggests a strong positive association. All things being equal, a rise in inflation leads to a rise in the nominal interest rate. The unit-root tests show that inflation and the nominal interest rate are both stationary. Based on both Engle-Granger and cointegrating regression Durbin-Watson tests, the nominal interest rate and inflation are cointegrated. Likewise, the results from Johansen cointegration indicate that there exists a long-run relationship between the variables. However, we rejected a one-to-one relationship between nominal interest rate and inflation. The error correction term coefficient (ECM) shows that it is statistically significant suggesting that the nominal interest rate adjusts to the inflation rate with a lag. The Pair-wise Granger Causality test reported a bi-directional causal relationship between nominal interest rate and inflation. Inflation targeting has been the monetary policy framework of choice for most central banks. In essence, the conclusions of this study are useful to central banks because they help them better comprehend the long-run equilibrium relationship between the nominal interest rate and inflation.

• The Korean Journal of Applied Statistics
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• v.27 no.4
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• pp.645-653
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• 2014

P-value is the probability of observing a current sample and possibly other samples departing equally or more extremely from the null hypothesis toward postulated alternative hypothesis. When p-value is less than a certain level called ${\alpha}$(= 0:05), researchers claim that the alternative hypothesis is supported empirically. Unfortunately, some findings discovered in that way are not reproducible, partly because the p-value itself is a statistic vulnerable to random variation. Boos and Stefanski (2011) suggests calculating the upper limit of p-value in hypothesis testing, using a bootstrap predictive distribution. To determine the sample size of a replication study, this study proposes thought experiments by simulating boosted bootstrap samples of different sizes from given observations. The method is illustrated for the cases of two-group comparison and multiple linear regression. This study also addresses the reproducibility of the points in the given 95% confidence interval. Numerical examples show that the center point is covered by 95% confidence intervals generated from bootstrap resamples. However, end points are covered with a 50% chance. Hence this study draws the graph of the reproducibility rate for each parameter in the confidence interval.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.171-176
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• 1998

This paper resents a spatio-temporal video segmentation method. The algorithm segments each frame of video sequences captured by a static or moving camera into moving objects (foreground) and background using a statistical hypothesis test. In the proposed method, three consecutive image frames are exploited and a hypothesis testing is performed by comparing two means from two consecutive difference images, which results in a T-test. This hypothesis test yields change detection mask that indicates moving areas (foreground) and non-moving areas (background). Moreover, an effective method for extracting object mask form change detection mask is proposed.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.5
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• pp.1378-1387
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• 2016

The purpose of this study is to extract the factors affecting service quality, customer satisfaction, and customer loyalty and to find out what effect service quality & customer satisfaction, service quality & customer loyalty, and customer satisfaction & customer loyalty respectively. The results of hypothesis testing through regression analysis showed that the hypothesis between service quality of ship management company and customer satisfaction was accepted in terms of all 5 service quality dimensions of tangibility, reliability, responsiveness, assurance and empathy. Also, the hypothesis between service quality of ship management companies and customer loyalty was accepted in terms of all 5 service quality dimensions of tangibility, reliability, responsiveness, assurance and empathy. Lastly, the hypothesis between customer satisfaction and customer loyalty was accepted.

• Nuclear Engineering and Technology
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• v.53 no.8
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• pp.2746-2752
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• 2021

The environmental effects of China's nuclear energy consumption in a dynamic framework of the pollution haven hypothesis are examined. This study uses a dynamic autoregressive distributed lag simulation approach. Empirical evidence confirms that the pollution haven hypothesis does not exist for China; i.e., foreign direct investment plays a promising role in influencing environmental outcomes. Furthermore, empirical results concluded positive contribution of nuclear energy in pollution mitigation. From the results it is expected that encouraging foreign investment to increase generation of nuclear energy would benefit environmental quality by reducing CO₂ emissions.

• Journal of The Korean Association For Science Education
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• v.23 no.2
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• pp.200-213
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• 2003

This study is one of the successive studies for investigating students' processes of generating and evaluating scientific hypothesis. In this study, I analyzed the characteristics of students' experimental design to test whether the given hypotheses were correct or not. As results, it was found that (1) 3 components (experimental method, prediction of the result of experiment, evaluation of hypothesis) were needed to complete description of the experimental design, (2) students tried to test hypothesis considered as being correct as well as hypothesis considered as being false by students, (3) student tried to confirm hypothesis, which was considered as being correct, based on theoretical approach rather than experimental approach, (4) students' experimental design could be classified as two types, that is, direct experimental testing and comparative experimental design, and the latter could be classified as two subtypes; positive comparative one and negative comparative one, (5) students showed tendency to design positive comparative experiment when they considered hypothesis as being correct, and vise versa, (6) students preferred the prediction which could confirm the hypothesis when they considered the hypothesis as being correct, and vise versa, (7) many students rejected contradicting prediction even though they did not actually conduct experiment yet.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.701-711
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• 2008

SCM(Supply Chain Management) is one of the important issues in internet-based business environment. This study intends to suggest a research model to investigate the influence of environmental, organizational, technical factors on successful SCM system implementation. The purpose of this study is to analyze the influence of the organizational characteristics of SCM adoption on successful implementation of SCM systems, including the moderating effects of competitiveness. 122 companies data were collected by survey. The results of hypothesis testing showed that project management is the most important determinants to influence successful SCM system implementation. In addition to that, top management support, IS maturity have positive influence to successful implementation of SCM systems in direct effect model. Also, the results of hypothesis testing in moderating effect model show that competitiveness has a positive impact to successful implementation of SCM systems.

• Industrial Engineering and Management Systems
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• v.16 no.1
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• pp.103-108
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• 2017

Tourism is a sector that plays an important role in the economic growth of Indonesia. Bandung as the capital of West Java province is known as the city with diverse tourism potential, both in the attractiveness of the city and surrounding natural beauty. DHR is a three stars resort hotel in the city with a strategic location. As a three stars resort hotel, DHR has been experiencing occupancy rate problems, consequently, it cannot often reach the set targets, both during high season and low season. The purpose of this study is to identify the factors of hotel performance that influences consumer staying back decision in the future. Questionnaires have been distributed to hotel guests to gather information regarding their interest and the performance assessment of the hotel services and facilities, and staying back decision in the future. Discriminant Analysis and Hypothesis Testing are used to determine which hotel performance variables will directly affect consumer staying back decision. The result of this study provide marketing strategy that should be implemented by the hotel management in order to increase its occupancy rate.