• Title/Summary/Keyword: Binomial data

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A Study on Groundwater Age Dating Methods Using Tritium (삼중수소를 이용한 지하수 연령측정 방법에 관한 연구)

  • 오진석;김선준
    • Journal of the Korean Society of Groundwater Environment
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    • v.2 no.2
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    • pp.49-57
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    • 1995
  • Areas of Chungyang in Chungcheongnamdo, Cheju island and Georgia in U.S.A. were selected to calculate their groundwater ages and dispersion parameters using tritium. Piston flow model, Completely mixing model and Dispersion binomial model which calculate men residence times, and Dispersion normal model and Dispersion model(C$\_$FF) which calculate mean residence times and dispersion parameters simultaneously were applied. Since the input data, tritium concentrations of rainwaters, lack in part, tritium input function was prepared using the correlation of tritium concentrations of rainwaters of Pohang, Korea and Ottawa, Canada. Similar results of PFM and DBM reflect the intrinsical similarity of two models, assumption of low dispersion. The ages of sites of showing relatively higher tritium concentrations than other sites in the sam, region were not calculated by CMM. Since the calculations of DNM and DM(C$\_$FF/) provide the combination of wide ranges of parameters and groundwater ages, the ranges of dispersion parameters were narrowed down under the assumption that ages calculated by PFM and DBM are correct. Since large variation of tritium concentrations of outflows in a same region may reflect the different characteristics of each groundwater flow regime, using only one specific model on a whole region is not recommended.

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Relationship Between Accidents and Non-Homogeneous Geometrics: Main Line Sections on Interstates (기하구조의 비동질성을 고려한 교통사고와의 관계: 고속도로 본선구간을 중심으로)

  • Park, Min Ho;Noh, Kwan Sub;Kim, Jongmin
    • Journal of Korean Society of Transportation
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    • v.32 no.2
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    • pp.170-178
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    • 2014
  • Until now, several research on the relationship of traffic crash occurrences and geometric had been conducted and revealed that projects of road alignment, geometric improvement and hazardous segment selection reduced the number of accidents and accident severities. However, such variables did not consider the non-homogeneous characteristics of roadway segments due to the difficulty of data collection, which results in under-estimation of the standard error affecting the overall modeling goodness-of-fit. This study highlights the importance of non-homogeneity by looking at the effect of the non-homogeneous geometric variables through the modeling process. The model delivers meaningful results when using some geometric variables without relevant geometrics' variables.

Freeway Crash Frequency Model Development Based on the Classification of Geometric Alignment Type (선형유형 구분을 통한 고속도로 사고빈도모형 개발 연구)

  • Kim, Sang-Youp;Choi, Jai-Sung;Lee, Soo-Beom;Kim, Seong-Min;Cho, Won-Bum;Kim, Yong-Seok
    • International Journal of Highway Engineering
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    • v.13 no.1
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    • pp.97-105
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    • 2011
  • This paper presents how one can investigate the effects on crash occurrence of freeway geometric design elements including the horizontal, vertical alignment and road environment. At present, the available research results for the most part involve geometric data analysis that are obtained along a relatively long section of freeway, and, because of the long section's diverse geometric conditions, the results tend to miss the specific local geometric impacts on vehicle crashes. In this regard, this research attempts to establish vehicle crash models based on a set of freeway geometric patterns whose crash generating characteristics are identical because they are homogeneous in terms of producing the same vehicle operating speeds, and subsequently their actual relationships are described by providing statistical analysis made in this research. Also each standard is comprised of part of straight, curve and continuous curve. This research has revealed that each type of model has different relation between accident and geometry structure. This research results should be useful for doing more reasonable highway designs and safety audit analysis.

The Effects of Workplace Rest Breaks on Health Problems Related to Long Working Hours and Shift Work among Male Apartment Janitors in Korea

  • Park, Sungjin;Lee, June-Hee;Lee, Wanhyung
    • Safety and Health at Work
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    • v.10 no.4
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    • pp.512-517
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    • 2019
  • Background: Rest breaks at work are reported to reduce fatigue and job stress. Apartment janitors in Korea who perform night shift work and work long hours can be exposed to various health problems (HPs). However, few studies have evaluated relationships between their rest breaks and HPs. This study was conducted to examine the relationships between long working hours, shift work, and insufficient rest breaks and HPs among Korean apartment janitors. Methods: Data on 1,212 selected male apartment janitors were obtained from the 3rd and 4th Korean Working Conditions Surveys. Demographic and occupational characteristics were collected using self-reported questionnaires. Rest breaks at work were classified as "sufficient" or "insufficient." Long working hours were considered as working more than 60 hours per week. Zero-inflated negative binomial (ZINB) regression was performed to investigate the effects of shift work and long working hours on HPs and the effects of rest breaks on relationships between HPs and long working hours and shift work. Results: Among those with insufficient rest breaks at work, significant associations were found between long working hours and the risk of HPs [odds ratio (OR) = 1.489; 95% confidence interval (CI) = 1.038-2.136] and work-related HPs (WRHPs) [OR 1.621; 95% CI = 1.156-2.272], and between shift work and HPs [OR = 1.603; 95% CI = 1.084-2.372]. These relationships became nonsignificant when sufficient rest breaks were provided. Conclusion: It is important to provide breaks at work to reduce HPs because of long working hours and shift work among aged workers such as apartment janitors.

A Comparison of Characteristics between Success Group and Failure Group of 1-year Continuous Smoking Abstinence in Young Adult and Middle-aged Male Workers: with Focus on the First-year Analysis of Korean Cross-sectional Survey (청년 및 중년남성 근로자 중 1년 이상 금연 유지 성공군 및 실패군 간 개인적·사회적·환경적 특성 차이 분석: 제6기 국민건강영양조사 1차년도(2013년) 자료를 바탕으로)

  • Lee, Juna;Lee, Insook
    • Research in Community and Public Health Nursing
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    • v.27 no.2
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    • pp.95-105
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    • 2016
  • Purpose: This study examined the characteristics differences associated with 1-year continuous smoking abstinence in Korean young adult and middle-aged male workers. Methods: 'Korea National Health and Nutrition Examination Survey (KNHANES)' is an ongoing surveillance system that assesses the health and nutritional status of Koreans. For a secondary analysis of cross-sectional data from KNHANES VI-1, this study selected 683 Korean male workers as a subpopulation, who were young adult or middle-aged. The subpopulation was composed of success or failure group of 1-year continuous smoking abstinence. Binomial logistic regression analysis was performed. Results: Success group was more likely to be older, live in urban areas, rate their health status as excellent or good, and have ever been diagnosed with hypertension than failure group. Additionally, Success group was less likely to have used electronic cigarettes (e-cigarettes), drink more than once a month, and have been exposed to secondhand smoking in workplace within a week. Conclusion: Developing smoking cessation programs requires consideration of resources in rural areas, promoting self-efficacy, restricting e-cigarettes and drinking, and promoting a smoke-free workplace.

Reproductive Variables and Risk of Breast Malignant and Benign Tumours in Yunnan Province, China

  • Yanhua, Che;Geater, Alan;You, Jing;Li, Li;Shaoqiang, Zhou;Chongsuvivatwong, Virasakdi;Sriplung, Hutcha
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.2179-2184
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    • 2012
  • Introduction and aim: To compare reproductive factor influence on patients with pathological diagnosed malignant and benign tumor in the Breast Department, The First Peoples' Hospital of Kunming in Yunnan province, China. Methods: A hospital-based case-control study was conducted on 263 breast cancer (BC) cases and 457 non-breast cancer controls from 2009 to 2011. The cases and controls information on demographics, medical history, and reproductive characteristics variables were collected using a self-administered questionnaire and routine medical records. Histology of breast cancer tissue and benign breast lesion were documented by pathology reports. Since some variables in data analysis had zero count in at least one category, binomial-response GLM using the bias-reduction method was applied to estimate OR's and their 95% confidence intervals (95% CI). To adjust for age and menopause status, a compound variable comprising age and menopausal status was retained in the statistical models. Results: multivariate model analysis revealed significant independent positive associations of BC with short menstrual cycle, old age at first live birth, never breastfeeding, history of oral contraception experience, increased number of abortion, postmenopausal status, and nulliparity. Categorised by age and menopausal status, perimenopausal women had about 3-fold and postmenopausal women had more than 5-fold increased risk of BC compared to premenopausal women. Discussion and Conclusion: This study has confirmed the significant association of BC and estrogen related risk factors of breast cancer including longer menstrual cycle, older age of first live birth, never breastfeeding, nulliparity, and number of abortions more than one. The findings suggest that female hormonal factors, especially the trend of menopause status play a significant role in the development of BC in Yunnan women.

An Approach to decide the location of a method using the logistic analysis (로지스틱 분석을 이용한 메소드 위치 결정 방법)

  • Jung Young A.;Park Young B,
    • The KIPS Transactions:PartD
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    • v.12D no.7 s.103
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    • pp.1017-1022
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    • 2005
  • There are many changes in the software requirements during the whole software life cycle. These changes require modification of the software, and it is important to keep software quality and stability while we are modifying the software. Refactoring is one of the technology to keep software quality and stability during the software modification; there are many researches related to automatic refactoring. In this paper, we propose three factors for Move Method which is one of the refactoring technique. We applied binomial logistic analysis to data which were extracted from sample program by each factor. The result of this process was very close to the result of manual analysis by program experts. Furthermore, we found that these factors have major roll to determine Position of a method, and these factors can be used as a basis of finding optimal position of a method.

Analyzing the Influence of Policy Measures for Growth Management Plan (성장관리방안 정책수단의 영향력 분석)

  • Jeon, Byung-Chang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.3
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    • pp.253-268
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    • 2020
  • This study examined the effectiveness of policy measures in a growth management plan by analyzing empirically the influence of regulations and incentives in a non-urban growth management plan of Sejong City using the binomial logistic model. The parcel unit data related development location of Sejong City from 2012 to 2017 was used in the model. The analysis showed that time regulation in the growth management plan has a negative (-) impact on the spread of development, which means it is effective in slowing urban sprawl by lowering the profits of developers. The time regulation applied in Sejong City needs to be used actively in other cities in Korea to prevent urban sprawl. Nevertheless, floor ratio incentives had no influence in inducing development within the growth management area, which means a new incentive policy to meet the local characteristics is needed to strengthen the effectiveness of the growth management plan. This study is meaningful because it attempted an empirical analysis of the effects of the growth management plan at The National Territory Act, and this study could encourage further studies.

Sport Iinjuries by Body Parts in National Judo Athletes: A Retrospective Study (국가대표 유도선수의 신체부위별 스포츠상해에 대한 후향적 연구)

  • Kim, Hye-Young;Chung, Eun-Jung;Lee, Byoung-Hee
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.661-670
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    • 2020
  • The purpose of this study was to investigate the incidence of sports injury and trend of incidence pattern of national judo athletes. The research method was analyzed based on the records of all injuries experienced by national judo athletes during training and competition for 9 years from 2008 to 2016. A total of 20,345 sports injuries requiring physical therapy were 10,768 (52.93%) for women, 9,577 (47.07%) for men, lower extremities 9,688 (47.62%), upper limbs 5,807 (28.54%), and trunk 4,850 (23.84%) and knee-related injuries (27.82%) occur more frequently than other injuries. Shoulders, feet and back were more frequent in male athletes, and ankle, neck and hand injuries were more common in female athletes. Using the binomial trend line, the trend of the decrease of sports injuries in each area was shown. However, infrequent injuries such as hands and hips tend to increase gradually. The results of this study are expected to be used as a training program for judo athletes' sports injury and basic data.

Estimation of the Expected Loss per Exposure of Export Insurance using GLM (일반화 선형모형을 이용한 수출보험의 지급비율 추정)

  • Ju, Hyo Chan;Lee, Hangsuck
    • The Korean Journal of Applied Statistics
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    • v.26 no.6
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    • pp.857-871
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    • 2013
  • Export credit insurance is a policy tool for export growth. In the era of free trade under the governance of WTO, export credit insurance is still allowed as one of the few instruments to increase exports. This paper, using data on short-term export insurance contracts issued to foreign subsidiaries of Korean companies, calculates the expected loss per exposure by combining the effect of risk factors (credit rate of foreign importers, size of mother company, and payment period) on loss frequency and loss severity in different levels. We, applying generalized linear models (GLM), first fit loss frequency and loss severity to negative binomial and lognormal distribution, respectively, and then estimate the loss frequency rate per contract and the ratio of loss severity to coverage amount. Finally, we calculate the expected loss per exposure for each level of risk factors by combining these two rates. Based on the result of statistical analysis, we present the implication for the current premium rate of export insurance.