• Title/Summary/Keyword: probit

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Determination of Explosive Weight for Cable Cutter through Impact Test (Impact Test를 통한 케이블커터의 화약량 산정)

  • Choi, Chang-Sun
    • Journal of the Korean Society of Propulsion Engineers
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    • v.16 no.4
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    • pp.16-22
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    • 2012
  • We performed impact test to estimate necessary explosive charge weight for cutting the cable whose diameter is 22 mm. The impact test results were analyzed by Probit method. The cutting energy was calculated 37.7 J with 99.99% probability at 99% reliability compared to the average energy of 24.9 J. The cable was cut 3 times without failure with 150 mg of Zirconium Potassium Perchlorate (ZPP), which was considered to generate 24.5 J of mechanical energy with assumption that only 10% of explosive energy converts to mechanical energy. The calculated energy from measured pressure with 150 mg ZPP was 26.1 J, which is almost same with both impact test result and expected mechanical energy. We can argue that the cable can be cut with 99.99% probability at 99% reliability by 230 mg of ZPP.

Influence of Credit on the Income of Households Borrowing from Banks: Evidence from Vietnam Bank for Agriculture and Rural Development, Kien Giang Province

  • Quang Vang, DANG;Viet Thanh Truc, TRAN;Hieu, PHAM;Van Nam, MAI;Quoc Duy, VUONG
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.2
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    • pp.257-265
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    • 2023
  • This paper investigates the determinants of credit accessibility and the effect of credit on the income of farm households borrowing from Vietnam Bank for Agriculture and Rural Development, Giong Rieng District Branch, Kien Giang Province. Based on the primary data of 200 farming households who are the customer of the bank, the study applied the Probit regression model to examine determinant factors of credit accessibility of farm households and employed the Propensity score matching method to investigate the impact of credit on households' income. The findings of the Probit regression shown that three independent variables that significantly influence the access to credit of households are household size, income source, and farm size. Besides that, the Propensity score matching method results showed a difference of 23.799 million VND/year between the income of borrowing households and that of non-borrowing households at the significance level of 1%. The difference in the imcome from the interval and central matching methods are VND 24.700 million VND/year and VND 24.633 million VND/year, respectively. Given empirical findings suggetsted that several recommendations to increase the credit accessibility of farm households, thereby creating favorable conditions for improving their income.

Measuring Attribute Levels Influencing Tourists' Preference for Restaurants in Tourist Area and Marginal Willingness to Pay: Among Tourists in Jeonnam Area (관광객 선호도에 영향을 미치는 관광지 음식점의 속성수준 평가 및 한계지불의사액 분석: 전남지역 관광객을 대상으로)

  • Kang, Jong-Heon;Jeong, Hang-Jin
    • Journal of the Korean Society of Food Culture
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    • v.22 no.6
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    • pp.794-800
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    • 2007
  • The purpose of this study was to measure the tourists' preference for alternative restaurants with different combinations of 4 attribute levels: origin description, food type, price and service guarantee. A total of 210 questionnaires were completed from tourists who visited Kwangyang, Suncheon and Yeosu during Jan. 2 - Jan. 15, 2007. Conjoint experiment method was used to develop hypothetical restaurants. Ordinal probit model was used to measure the effects of attribute levels on the tourists' preference. Results of the study demonstrated that the ordinal probit model analysis result for the data indicated excellent model fit. The effects of attribute levels (origin description, traditional food, fusion food, price, service guarantee) on the tourists' preference were statistically significant. As expected, estimates of marginal willingness to pay for origin description(3.063), food type(2.349), and service guarantee(2.356) were statistically significant. Moreover, tourists were more willing to pay for origin description than other attribute levels. Tourists also considered the origin description as the very important attribute. In conclusion, based on conjoint analysis, a model was proposed of marginal willingness to pay of attribute levels. It should be noted that the original model was modified and should, preferably, be validated in future research.

Analyzing the Determinants of Online Seafood Purchasing Using Heckman's Ordered Probit Sample-Selection Model (Heckman 순서형 프로빗 모형을 이용한 소비자의 온라인 수산물 구매 결정요인 분석)

  • Heon-Dong Lee
    • The Journal of Fisheries Business Administration
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    • v.55 no.1
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    • pp.37-53
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    • 2024
  • In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman's ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

An Analysis of 3GPP LTE-Advanced Service Introduction and WiBro Active Factors in the Next-generation Telecommunications Service Environment (차세대 통신서비스 환경에서 3GPP LTE-Advanced 도입과 와이브로(WiBro) 활성화 요인분석)

  • Lee, Yong-Suk;Cho, Sang Sup;Kang, Shin-Won
    • Informatization Policy
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    • v.18 no.1
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    • pp.45-54
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    • 2011
  • The purpose of this study is to analyze the selection behavior decision model of telecommunications service under the telecommunication environments with joining the WiBro and 3GPP LTE-Advanced service at the sam time. The research results are as follows. First, mobile telecommunication service selection behavior is correlated with each other between WiBro and 3GPP LTE-Advanced service. Second, in the bivariate probit model estimates such as age, income, expenditure and income variable are important decision variables of WiBro and 3GPP LTE-Advanced service selection behavior. Gender and service using years, however, are not an important variables. The single and bivariate probit estimate results show the same estimation results. Finally, the two service selecting predictions by using the bivariate probit estimated results, 28.6% of WiBro and 25.3% of 3GPP LTE-Advanced were expected. Also, chance to join the two telecommunications services simultaneously is 19.3%. Therefore, WiBro selection probability is a little higher than 3GPP LTE-Advanced. The implications of these results, the future telecommunications service selection will be determined by economic factors such as income and expenditure. Thus, to enable the WiBro, policy means for reducing the excessive telecommunications expenditure are needed in the future.

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Analysis of Factors influencing Severity of Motorcycle Accidents using Ordered Probit Model (순서형 프로빗모형에 의한 이륜차 사고심각도의 영향요인 분석)

  • Choi, Jung Woo;Kum, Ki Jung
    • International Journal of Highway Engineering
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    • v.16 no.5
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    • pp.143-154
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    • 2014
  • PURPOSES : This study drew factors affecting motorcycle accidents in Seoul by severity using an ordered probit model and aimed to analyze and verify the drawn influence factors. METHODS : As the severity of the accidents could be classified into three types (fatal injury, serious injury and minor injury), this study drew the factors affecting accidents by a comparative analysis employing an ordered probit model, removed the variables that would not secure significance sequentially to construct a model with high explanatory power regarding the factors affecting the severity of motorcycle accidents, and calculated the marginal effect of each factor to understand the degree of each factor's impact on the severity. First, Model 1 put in all variables; Model 2 was constructed by removing the variables of the road surface conditions that could not meet the level of significance (p=0.608); Model 3 was constructed by removing gender variable (p=0.423); and Model 4 was constructed finally by removing age variable (p=0.320). RESULTS : As a result of an analysis, statistically significant variables were time of occurrence, type of accident, road alignment and motorcycle displacement, and it turned out that the impacts on the severity were in the following order: a road alignment of left downhill, the type of motorcycle-to-vehicle accidents and a road alignment of a flatland on the left. The significance of the models was tested using the likelihood ratio, the level of significance and suitability statistics about them, and as a result of the test, the significance level and suitability of the constructed models were all excellent. In addition, the model accuracy indicating the accuracy of a predicted value compared to that of the value actually observed was 70.3% for minor injury; 70.1% for serious injury; and 68.6% for fatal injury, and the overall accuracy was 70.2%, which was very high. CONCLUSIONS : As a result of an analysis of motorcycle accidents in Seoul through the ordered probit model and the marginal effect, it turned out that their severity increased in nighttime accidents as compared to daytime ones and gradually increased in the order of motorcycle-to-vehicle accidents, motorcycle-to-person ones and the ones involving motorcycle only. As a result of an analysis, the severity of accidents in road alignments of left downhill, left flatland and straight downhill increased as compared to those in a road alignment of straight flatland and that the severity of accidents of motorcycles with a displacement larger than 50cc was higher than that of those with a displacement smaller than 50cc.

Effect Analysis of Introduction of New Agricultural Technology - Case Study Base on Automatic Switch for Heat Insulating Covering - (농업 신기술 도입여부에 영향을 미치는 요인분석 -참외 보온덮개 자동개폐기를 중심으로-)

  • Choi, Don-Woo;Yeon, Il-Kweon;Do, Han-Woo;Lin, Qing-Long
    • Journal of Korean Society of Rural Planning
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    • v.18 no.2
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    • pp.39-45
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    • 2012
  • The objective of this study was to analyze the determinant factors in the new agricultural technology acceptance targeted to the automatic switchgear for heat-retaining mulching used on the oriental melons farms. The probit and the logit models were estimated using survey data. The result indicated that the level of income, innovativeness, and reliability are important factors of the new agricultural technology acceptance. Therefore, it is considered the level of income, innovativeness, and reliability in advance to extend the new agricultural technology quickly.

A Comparison of Determinants of Housing Satisfaction Between Rural and Urban Areas (농촌 및 도시 주민의 주택 만족도 영향 요인 비교 연구)

  • Hwang, Jeong Im;Choi, Yoon Ji;Park, Jin Woo
    • The Korean Journal of Community Living Science
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    • v.25 no.4
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    • pp.567-579
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    • 2014
  • Housing environments of individuals and families can have considerable influence on their quality of life. This study examines the factors influencing housing satisfaction and compares them between rural and urban areas. A total of 3,958 households collected from a nationwide survey were analyzed using an ordered probit model. The results indicate that housing satisfaction was influenced by individual, housing, and neighborhood attributes. The factors that differentiated between rural and urban models were sex, housing type, and relationships with neighbors. The results have important policy issues for improving rural housing.

Analysis on the Demand for Ubiquitous Healthcare Services: Focusing on Home-based Telemedicine and Telehealthmanagement Services (유헬스 서비스 수요 분석: 댁내기반 원격의료.건강관리서비스를 중심으로)

  • Koh, Dae-Young;Cho, Hyun-Seung
    • Journal of Information Technology Services
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    • v.10 no.3
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    • pp.265-284
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    • 2011
  • The purpose of this study is to analyze the demand for telemedicine and telehealthmanagement services, which are key elements of home based u-health. The conjoint analysis, which is a conventional method for demand analysis for newly introduced products, is employed, utilizing the survey data on 500 seoul citizens. Further, multivariate probit model is used to estimate the demand. The result shows that the demand for telemedicine services is greater than that of telehealthmanagement services. Further, home-based u-health services will play a role as a complementary for face-to-face medical treatments, rather than a substitute. Meanwhile, the demand for home-based u-health services is found to be very sensitive to price.

A Comparative Study on the Method of Consequence Estimation for Release of Toxicant Substances (독성물질 누출의 강도 산정 방법에 관한 비교 연구)

  • 김윤화;백종배;고재욱
    • Journal of the Korean Society of Safety
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    • v.9 no.1
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    • pp.89-94
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    • 1994
  • Two methods, the numerical method of CPQRA and the manual method of IAEA, were used to estimate the effect distance from release and dispersion of toxic materials. The Gaussian plume model which has a weather stability class D with wind velocity of 5m/s was applied to calculate dispersion of toxic materials. Also, probit function were employed to evaluate the human fatality as a result of exposure to toxic gases. Furthermore, concentration of toxic materials corresponding to LC$_{50}$ for 30 min could be determined by setting Pr as 5.0 and solving the probit function. Calculations were conducted by employing chlorine and ammonia as toxic materials because they are not only most commonly used In chemical plants but also very harmful to humans. Calculated results by employing toxic materials indicated that the effect distance from the CPQRA method was between the minimum and maximum distance from the method proposed by IAEA.A.

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