• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.21-32
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• 2006

The purpose of this study is to determine the economical standard for road signs by verifying the difference in driver's legibility time with respect to the spacing of letters on the toad signs. Laboratory simulations were conducted to confirm the difference in legibility time for six target signs of different spacing. Also. a binary logit model was used to find the main factors, which could lower the rate if misreading. This model involves not only a simple enlargement of signs but also a suitable match of letters and signs along with the optimal spacing of the text letters on the road signs to increase the legibility of the sign. The result of this study verified the importance of spacing in road signs and Proved itself to be an effective method to determine the future standard for the road signs.

• Management Science and Financial Engineering
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• v.12 no.2
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• pp.19-35
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• 2006

We use the hierarchical Bayesian approach to describe the transition probabilities of a binary nonhomogeneous Markov chain. The Markov chain is used for describing the transition behavior of emotionally disturbed children in a treatment program. The effects of covariates on transition probabilities are assessed using a logit link function. To describe the time evolution of transition probabilities, we consider two modeling strategies. The first strategy is based on the concept of exchangeabiligy, whereas the second one is based on a first order Markov property. The deviance information criterion (DIC) measure is used to compare models with two different time dependent structures. The inferences are made using the Markov chain Monte Carlo technique. The developed methodology is applied to some real data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.118-128
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• 2012

An attempt is given to the problem of analyzing the two-way binary attribute data using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the analysis of variance (ANOVA) may not be good enough, especially for the case that the proportion is very low or high. The logistic transformation of proportion data could be a help, but not sound in the statistical sense. Meanwhile, the adoption of generalized least squares (GLS) method entails much to estimate the variance-covariance matrix. On the other hand, the logistic regression methodology provides sound statistical means in estimating related confidence intervals and testing the significance of model parameters. Based on simulated data, the efficiencies of estimates are ensured with a view to demonstrate the usefulness of the methodology.

• Survey Research
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• v.2 no.2
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• pp.83-107
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• 2001

The contingent valuation method uses survey questions to elicit people's preferences for public goods by finding out what they would be willing to pay for specified improvement in them. The method is thus aimed at eliciting their willingness to pay in money amounts. It circumvents the absence of markets for public goods by presenting consumers with hypothetical markets in which they have the opportunities to buy the good In question. The hypothetical markets may be modeled after either a private goods market or a political market. Respondents are presented with material, often in the course of a personal interview conducted face to face. An on-site survey was conducted to 1107 randomly selected P-mountain users using a dichotomous choice questionnaire for the contingent valuation method. Seventeen different bid sets were chosen ranging from the lowest bid of 300won to the highest bid of 2, 100won to elicit a reasonable entrance fee in the hypothetical market. The probability of an individual user's willingness to pay for the suggested bid had been determined, and the expected value of willingness to pay was estimated using binary-1ogit model. The average public value of P-mountain per individual user was estimated to be 1,055.92won ~ 1,995.61won according to the binary-logit model. The economic value of this P-mountain which includes both use value and existence value can be determined by aggregating the average value giving total willingness to pay for the entire population, in this case 5.491 billion ~ 10.377 billion.

• The Journal of Fisheries Business Administration
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• v.54 no.1
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• pp.051-069
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• 2023

This study analyzed the determinants that affect the purchase of ready-to-cook seafood products using the "Consumer Attitude Survey on Processed Foods" from 2018 to 2021. Dietary lifestyle, food awareness and preference survey questions were categorized, and factors affecting the purchase probability of ready-to-cook seafood were identified through a binomial logit model. The main research findings are as follows. First, consumers had higher preference for quality, safety, and new taste factors than health and price factors when purchasing HMR (Home Meal Replacement). Second, through binomial logit model analysis, the probability of purchasing ready-to-cook seafood products was low in the group pursuing taste and economy. On the other hand, the purchase probability was high in the group seeking convenience. Third, the purchase probability of ready-to-cook seafood products was higher in households with two or more persons than in single-person households. These results suggest that differentiated product development and marketing strategies should be needed for each consumer groups in the seafood convenience food market.

• Journal of Korean Society of Water and Wastewater
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• v.23 no.6
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• pp.753-761
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• 2009

Bottled water market is growing at a rate of 10% per year in Korea. However, bottled water exhausts ground water. Korean government proposed to provide 'bottled tap water' at a low price in 2008. This study is the estimation of 'bottled tap water' market scale using binary logit model. we calculate that 'bottled tap water' market scale is from at least 92 billion won to 154 billion won by 150, 250 won per a bottled water, respectively. This paper indicates that scale of 'bottled tap water' market is a half of 'bottled water' market in 2007. This result provides that policy-makers with available and responsible information regarding the scale of 'bottled tap water' market.

• The Korean Journal of Applied Statistics
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• v.18 no.1
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• pp.173-182
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• 2005

A Bayesian threshold model is considered to analyze binary or ordered categorical traits. Gibbs sampler for making full Bayesian inferences about the category probability as well as the regression coefficients is described. The model can be regarded as an alternative to the ordered logit regression model. Numerical examples are shown to demonstrate the efficiency of the model.

• Communications for Statistical Applications and Methods
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• v.12 no.2
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• pp.313-322
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• 2005

In this paper, we discuss suppression for logistic regression model. Suppression for linear regression model was defined as the relationship among sums of squared for regression as well as correlation coefficients of. variables. Since it is not common to obtain simple correlation coefficient for binary response variable of logistic model, we consider cumulative logistic models with multinomial and ordinal response variables rather than usual logistic model. As number of category of a response variable for the cumulative logistic model gets collapsed into binary, it is found that suppressions for these logistic models are changed. These suppression results for cumulative logistic models are discussed and compared with those of linear model.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.164-181
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• 2007

This paper empirically analyzes determinants of DTV (Digital Television) adoption in household survey data with IT-related household demand characteristics. To this purpose, we conducted a survey for the adoption of DTV to 1,000 households nationwide. In the questionnaire, various questions asking socio-economics characteristics such as age, education, income were included. Also, status of adoption and usage of IT services such as paid broadcasting, internet, and DVD were asked. To analyze the determinants of intention of purchasing, decision of purchasing, and the timing of purchasing DTV, we adopted the ordered logit, binary logit and multinomial legit models. When there is an order among groups, ordered logit was employed and when there is no orders among groups, multinomial logit was emplyed for the estimation. It is found that when conditions of other explanatory variable are constant, the more educated household heads are, the more probable they become early adopters of DTV. It is also found that other conditions being constant, the income level of households and IT-related household demand characteristics are very important factors affecting DTV adoption. Since the likelihood of purchasing DTV is much higher for those who know the government policy of analog broadcasting termination schedule than others who do not know, dissemination of the Korean government's digital broadcasting policy will affect significantly the adoption of DTV. And policy with various incentives ought to be employed to accelerate DTV adoption, because households with the older TV sets are more likely to purchase DTV. It is suggested that the Korean government should develop policy to connect both DBS (Direct Broadcast Satellite) and DTV since DBS subscribers are more likely to be an early adopter than non-subscribers.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.214-222
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• 2018

The purpose of this study is to analyze the role of individualistic, family, and social characteristics of immigrant women on marriage on community integration. It is focused on exploring how the immigrant women on marriages' residential district differentiate community integration. The study adopts a questionnaire method in research of immigrant women on marriage in all parts of Korea. Data are collected from 163(Metropolitan Government & City), 182(Provincial Government) immigrant women on marriage for empirical analysis respectively. Technique used in analyzing data is Binary Logit Model primarily. In conclusion, on the results of test, it turned out to be strong significant influence on provincial regions than the metropolitan city regions statistically excepting family, and social characteristics.