• Journal of the Korean Statistical Society
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• v.24 no.2
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• pp.361-373
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• 1995

Three remarks are offered, pertaining to classes of estimators Pitman-dominating a given estimator. The first remark concerns incorporating general loss in the construction of such classes. The second remark concerns Pitman domination comparisons amongst the members of such classes. The third remark concerns construction of such a class in the location-scale case.

• Journal of Families and Better Life
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• v.11 no.1
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• pp.67-79
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• 1993

The purpose of this study were to study the relationships of the locus of control and the frustration reaction of adolescents according to their family-environment. The objects are 369 students in the second grade of middle schools located in Kwangju and Chonnam. The instruments used in this study are "Internal-External locus of control scale for students" (the Nowicki and Strickland's scale translated by Jung Eun-Joo and Son Jin-Hoon) " Picture-Frustration Test" (by Kim Jae Eun and Kim Tai Ryun) The data is produced on frequency distribution percentile average standard deviation F-test Pearson's correlation with SAS computer program. The results are as follows: 1) The internal -external locus of control shows significant differences in the location sex. the number of siblings family pattern father's educational level and mother's occupation. 2) The reaction type for frustration shows statistically significant differences in accordance with their sex the number of siblings birthorder fathers grown-up place parents' age and parents' occupation. 3) The direction of aggression for frustration shows significant difference in according with the location sex the number of siblings birth order family pattern parents' grown-up place and father's educational level. 4) According to the internal-external locus of control the frustration reaction scores are different significantly. Internal adolescents have positive relation with Need-Persistance and Impunitiveness and negative relation with Obstade-Dominance and Extrapunitiveness.

• Communications for Statistical Applications and Methods
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• v.25 no.1
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• pp.79-89
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• 2018

In this paper, we study the maximal property of the volume of the convex hull of d-dimensional independent random vectors. We show that the volume of the random convex hull from a multivariate location-scale family indexed by ${\Sigma}$ is stochastically maximized in simple stochastic order when ${\Sigma}$ is diagonal. The claim can be applied to a broad class of multivariate distributions that include skewed/unskewed multivariate t-distributions. We numerically investigate the proven stochastic relationship between the dependent and independent random convex hulls with the Gaussian random convex hull. The numerical results confirm our theoretical findings and the maximal property of the volume of the independent random convex hull.

• Journal of Preventive Medicine and Public Health
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• v.42 no.5
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• pp.305-314
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• 2009

Objectives : The physical activity of Korean adolescents and its distribution based on social characteristics have not yet been fully assessed. This study intends to reveal the distribution of physical activity by its subgroups and offer possible explanatory variables. Methods : The 3rd Korea Youth Risk Behavior Web-based Survey was analyzed for this study. The appropriateness of physical activity was defined by Korea s Health Plan 2010 and physical inactivity was assessed independently. Family affluence scale, parents education levels, subjective economic status, grade, and school location were considered explanatory variables. All statistical analysis was conducted using SAS ver. 9.1. Results : The proportion of participants engaging in vigorous physical activity was high in males (41.6%), at a low grade (38.5%), within the high family affluence scale group (35.5%). The distribution of participants engaging in moderate physical activity showed similar patterns, but the overall proportion was lower (9.8%). Low family affluence and students with lower subjective economic status reported a higher prevalence of physical inactivity. In multiple logistic regression analysis for physical activity, significant factors included family affluence scale (p<0.05). For physical inactivity, family affluence scale, parents education levels, and subjective economic status were included as significant factors (p<0.05). Conclusions : The results suggest that the physical activity and inactivity of adolescents may be affected by socioeconomic variables, such as family affluence scale. This implies the need to take proper measures to address these socio-economic inequalities.

• Journal of architectural history
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• v.20 no.4
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• pp.7-28
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• 2011

This study intends to investigate the measuring scales, locations and scales through arrangement plans for a research on construction plans. Through an analysis of the artifacts-measuring scales, the relation of two scales found, which further helped suppose the measuring scales applied during the foundation period. Southern dynasties-scale was still used even after the capital was transferred to Sabi till Tang-scale was introduced. Tang-scale was used for Buddhist temples mostly founded in the 7th century. On the other hand, Goguryo-scale seemed to be used almost at the same period as Southern dynasties-scale used, but it seemed that Goguryo-scale disappeared earlier than Southern dynasties-scale. The locations of Buddhist temples could be classified into mountains, flatlands and mountain valley. Buddhist temples founded in mountains were mostly small-sized, but ones located on flatlands could secure flat fields through mounding operations. In addition, through location conditions of Neungsa and Wangheungsa, it was possible to find out the district setting of Sabi Capital Castle. Finally, the expansion range of Buddhist temples were found to be towards the east and the west. As for the scales of temples according to such conditions of location, it was found a similarity in Temple sites. In general, it was possible to assume that the scales of Buddhist temples tended to be expanded along with spatial expansion and there were regular systems in Buddhist temples related to the Royal family. Through the analysis of arrangement plans between individual buildings, it was found that the basic arrangement of Gate-Pagoda-Main Hall-Lecture Hall was preserved, but the proportion of distances between individual buildings varied depending on cases. As a result, there were differences between scales of entire building sites, construction subjective influences and master plan for each location of a Buddhist temple.

• Journal of the Korean Statistical Society
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• v.23 no.1
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• pp.187-198
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• 1994

We derive a new Cramer-Rao type lower bound for the reciprocal of the density height of the median-unbiased estimators which improves most of the previous lower bounds and is attainable under much weaker conditions. We also identify useful necessary and sufficient condition for the attainability of the lower bound which is considerably weaker than those for the mean-unbiased estimators. It is shown that these lower bounds are attained not only for the family of continuous distributions with monotone likelihood ratio (MLR) property but also for the location and scale families with strong unimodal property.

• Communications for Statistical Applications and Methods
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• v.6 no.1
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• pp.275-283
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• 1999

In order to estimate a parameter $(\alpha,\beta^r), r\epsilonN$, in a distribution belonging to a location-scale family we usually use best invariant estimator (BIE) and best unbiased estimator (BUE). But in some conditions Ryu (1996) showed that BIE is better than BUE. In this paper we calculate risks of BIE and BUE in a normal and an exponential distribution respectively and calculate a percentage risk improvement exponential distribution respectively and calculate a percentage risk improvement (PRI). We find the sample size n which make no significant differences between BIE and BUE in a normal distribution. And we show that BIE is always significantly better than BUE in an exponential distribution. Also simulation in a normal distribution is given to convince us of our result.

• Journal of Environmental Science International
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• v.25 no.12
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• pp.1701-1715
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• 2016

This study is a basic investigation of the contents and services relevant to the domestic vacation house business. In which, the trade scale, types of housing, and environmental conditions of various property locations were analyzed. The characteristics of properties listed on the Japanese website that conducts the greatest volume of vacation house trade in Japan were examined, and the following results were obtained: Villa areas, villas, and resort condos (resort mansions) are the three basic types of properties handled in the vacation house trade. In this market, sales per unit in villa areas and per spaces in resort condos accounted for the highest volume of trade, followed by that of villas (individual houses). In terms of land area, floor area, and sales price per house type, the relatively cheaper small and medium-sized vacation houses are more frequently traded, than expensive large-scale villas. In particular, small multi-family type villas (such as in resort condos) are the most popular. Land and floor area, and sales prices all show considerable variation depending on the type of property considered. Therefore, a business initiative to provide a more detailed classification of properties is required. In terms of the environment of vacation properties, most are located on coasts, plateaus, or inland mountains, and are generally within three-hours' traveling distance of large cities.

• Journal of the Korean housing association
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• v.19 no.2
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• pp.73-82
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• 2008

The purpose of this paper is to analyze the correlation analysis between the experienced crime victimization rate and the evaluation indicator of residents' safety of outdoor spaces from crime in multi-family housing. Additionally this paper intend to analyze the correlation analysis between the residents' satisfaction about safety and the evaluation indicator of residents' safety of outdoor spaces. For that purpose, 9 Multi-Family Housing located in the metropolitan area were selected to perform a survey against 349 residents during May 26-29, 2006. The SPSS program was used and the level of satisfaction ranged from 1 to 5. Scale of 5 being most satisfied while 1 being most dissatisfied. The results of this study are the followings; 1) Most occurred crime were auto theft and damages, poster matter theft, housebreaking. 2) The crime rate is higher in outdoor than in indoor. 3) This study proved the correlation between the residents' satisfaction about housing safety and most indicators except the number of households etc. 4) By the results of the correlation coefficient it makes clear that the number of apartment building, the visibility of Green Space, the location of pedestrian etc. have relation with the residents' satisfaction about housing safety.

• Journal of the Korean housing association
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• v.7 no.2
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• pp.69-77
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• 1996

Mobility in housing is a normative way to satisfy family needs for· better· living conditions. In the context of relative decisions. mobility can be understood as forced relocation or unforced relocation In making relocation. the household chooses a particular 'environmental quality profile. Therefore. the understanding of mobility and relocation in housing is needed for· the developing and planning of housing evnironment. The major findings are s follows ;1. The motives of mobility are composed of 4 factors('material porseperity’, 'convenience· safety'. environmental improvement' and 'forced relocation'). Especially, 'material prosperity' was defined the most fundamental factor· for. 2. The components of housing environment quality were composed of 3 factors related to the scale of home environment. They were 'neighborhood character factor', 'dwelling character· factor·'. And 'location character· factor'. The factor 'neighborhood character' was defined the basic factor· to choose for the housing environmental quality profile.3. It was examined that the motives of mobility and the components of home environmental quality were significantly different by the household characteristics (income. family life cycle. and tenure type).