• Title/Summary/Keyword: bivariate means

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Empirical Evidence on the Integration of Major Fishery Product Import Markets in South Korea: Focus on Frozen Pollock, Frozen Long Arm Octopus, and Frozen Hairtail (국내 주요 수산물 수입시장의 통합정도 : 냉동명태, 냉동낙지, 냉동갈치 시장을 중심으로)

  • Lim, Eun-Son;Kim, Ki-Soo
    • The Journal of Fisheries Business Administration
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    • v.46 no.3
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    • pp.31-49
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    • 2015
  • This study examines whether or not the South Korean major fishery product import markets; Frozen Pollock, Frozen Long Arm Octopus, and Frozen Hairtail are integrated. We are utilizing the Multivariate and Bivariate Johansen Co-integration test to see if the law of one price(LOP) holds in each market or not. The empirical results show that even though import prices from different countries affect each other in each South Korean major fishery product import market, there is no evidence of LOP in any fishery product import market, which means that none of the markets are integrated. Based on these results, we could expect that the three major fishery product import markets show monopolistic competition among import countries. we would also see whether or not any country plays the role of a price leader in any of the markets. Based on weak exogeneity test results, we might expect that the United States and Malaysia are price leaders in the South Korean Frozen Pollock Import Market and Frozen Long Arm Octopus Import Market, respectively; however, we need to study more on this in the future.

Multivariate process control procedure using a decision tree learning technique (의사결정나무를 이용한 다변량 공정관리 절차)

  • Jung, Kwang Young;Lee, Jaeheon
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.3
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    • pp.639-652
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    • 2015
  • In today's manufacturing environment, the process data can be easily measured and transferred to a computer for analysis in a real-time mode. As a result, it is possible to monitor several correlated quality variables simultaneously. Various multivariate statistical process control (MSPC) procedures have been presented to detect an out-of-control event. Although the classical MSPC procedures give the out-of-control signal, it is difficult to determine which variable has caused the signal. In order to solve this problem, data mining and machine learning techniques can be considered. In this paper, we applied the technique of decision tree learning to the MSPC, and we did simulation for MSPC procedures to monitor the bivariate normal process means. The results of simulation show that the overall performance of the MSPC procedure using decision tree learning technique is similar for several values of correlation coefficient, and the accurate classification rates for out-of-control are different depending on the values of correlation coefficient and the shift magnitude. The introduced procedure has the advantage that it provides the information about assignable causes, which can be required by practitioners.

Predictors of Participation in Prostate Cancer Screening among Older Men in Jordan

  • Abuadas, Mohammad H;Petro-Nustas, Wasileh;Albikawi, Zainab F.
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.13
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    • pp.5377-5383
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    • 2015
  • Background: Participation is one of the major factors affecting the long-term success of population-based prostate cancer screening programs. The aim of this study was to explore strong factors linked to participation in prostate cancer screening among older Jordanian adults using the Health Belief Model (HBM). Materials and Methods: Data were obtained from Jordanian older adults, aged 40 years and over, who visited a comprehensive health care center within the Ministry of Health. A pilot test was conducted to investigate the internal consistency of the the Champion Health Belief Model Scale for prostate cancer screening and the clarity of survey questions. Sample characteristics and rates of participation in prostate cancer screening were examined using means and frequencies. Important factors associated with participation in prostate cancer screening were examined using bivariate correlation and multivariate logistic regression analysis. Results: About 13% of the respondents had adhered to prostate cancer screening guidelines over the previous decade. Four out of the seven HBM-driven factors (perceived susceptibility, benefits and barriers to PSA test, and health motivation) were statistically significant. Those with greater levels of susceptibility, benefits of PSA test and health motivation and lower levels of barriers to PSA testing were more likely to participate in prostate cancer screening. Family history, presence of urinary symptoms, age, and knowledge about prostate cancer significantly predicted the participation in prostate cancer screening. Conclusions: Health professionals should focus more on the four modifiable HBMrelated factors to encourage older adults to participate in prostate cancer screening. Intervention programs, which lower perceived barriers to PSA testing and increase susceptibility, benefits of PSA testing and health motivation, should be developed and implemented.

Reliability of the EOS Imaging System for Assessment of the Spinal and Pelvic Alignment in the Sagittal Plane

  • Kim, Sang Bum;Heo, Youn Moo;Hwang, Cheol Mog;Kim, Tae Gyun;Hong, Jee Young;Won, You Gun;Ham, Chang Uk;Min, Young Ki;Yi, Jin Woong
    • Clinics in Orthopedic Surgery
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    • v.10 no.4
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    • pp.500-507
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    • 2018
  • Background: The sagittal alignment of the spine and pelvis is not only closely related to the overall posture of the body but also to the evaluation and treatment of spine disease. In the last few years, the EOS imaging system, a new low-dose radiation X-ray device, became available for sagittal alignment assessment. However, there has been little research on the reliability of EOS. The purpose of this study was to evaluate the intrarater and interrater reliability of EOS for the sagittal alignment assessment of the spine and pelvis. Methods: Records of 46 patients were selected from the EOS recording system between November 2016 and April 2017. The exclusion criteria were congenital spinal anomaly and deformity, and previous history of spine and pelvis operation. Sagittal parameters of the spine and pelvis were measured by three examiners three times each using both manual and EOS methods. Means comparison t-test, Pearson bivariate correlation analysis, and reliability analysis by intraclass correlation coefficients (ICCs) for intrarater and interrater reliability were performed using R package "irr." Results: We found excellent intrarater and interrater reliability of EOS measurements. For intrarater reliability, the ICC ranged from 0.898 to 0.982. For interrater reliability, the ICC ranged from 0.794 to 0.837. We used a paired t-test to compare the values measured by manual and EOS methods: there was no statistically significant difference between the two methods. Correlation analysis also showed a statistically significant positive correlation. Conclusions: EOS showed excellent reliability for assessment of the sagittal alignment of the spine and pelvis.

Support for a Campus Tobacco-Free Policy among Non-Smokers: Findings from a Developing Country

  • Yasin, Siti Munira;Isa, Mohamad Rodi;Fadzil, Mohd Ariff;Zamhuri, Mohammad Idris;Selamat, Mohamad Ikhsan;Ruzlin, Aimi Nadira Mat;Ibrahim, Nik Shamsidah Nik;Ismail, Zaliha;Majeed, Abu Bakar Abdul
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.1
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    • pp.275-280
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    • 2016
  • Background: A tobacco-free workplace policy is identified as an effective means to reduce tobacco use and protect people from second-hand smoke; however, the number of tobacco-free policies (TFP) remains very low in workplaces in Malaysia. This study explored the factors affecting support for a tobacco-free policy on two healthcare campuses in Malaysia, prior to the implementation of TFP. Materials and Methods: This cross-sectional study was conducted among 286 non-smokers from two healthcare training centres and two nearby colleges in Malaysia from January 2015 to April 2015. A standardized questionnaire was administered via staff and student emails. The questionnaire collected information on sociodemographic characteristics, support for a tobacco-free policy and perceived respiratory and sensory symptoms due to tobacco exposure. Bivariate and multivariate logistic regression analyses were performed to estimate the independent effects of supporting a tobacco-free campus. Results: The percentage of individuals supporting completely tobacco-free facilities was 83.2% (N=238), as opposed to 16.7% (N=48) in support of partially tobacco-free facilities. Compared to the supporters of partially tobacco-free facilities, non-smokers who supported completely tobacco-free health facilities were more likely to be female, have higher education levels, to be very concerned about the effects of other people smoking on their health and to perceive a tobacco-free policy as very important. In addition, they perceived that tobacco smoke bothered them at work by causing headaches and coughs and, in the past 4 weeks, had experienced difficulty breathing. In the multivariate model, after adjusting for sociodemographic characteristics and other factors, only experiencing coughs and headaches increased the odds of supporting a completely tobacco-free campus, up to 2.5- and 1.9-fold, respectively. Conclusions: Coughs and headaches due to other people smoking at work enhances support for a completely tobacco-free campus among non-smokers.