• The Korean Journal of Applied Statistics
• /
• v.15 no.1
• /
• pp.85-105
• /
• 2002

To explore the relationships among frequencies for sets of alleles, within or between loci, is one of the first analyses in population genetic study. The general question is whether the frequency of a set of alleles is the same as the product of each of the separate allele frequencies. For two alleles of a single locus, Hardy-Weinberg equilibrium is tested and for an allele from each of two loci, linkage disequilibrium is tested. However, it is more useful if we can quantify and graphically represent this information. In this study, we suggest graphical methods to find associations between alleles. We also analyze the STR data of Korean population as an illustration.

• Korea Journal of Hospital Management
• /
• v.22 no.3
• /
• pp.105-117
• /
• 2017

This study was performed to provide medical service providers with useful information for their market competitiveness and decision making. It is regarding positioning map and repositioning map strategy to enforce market competitiveness through bench marking of a specific hospital which has been relatively underestimated in the market. With AHP and biplot analyses for this study, we could identify priority of properties that medical service consumers consider when they choose a university hospital and market competitiveness of alternative university hospitals. It is expected that the study of repositioning strategy to Strengthening Market Competitiveness will provide efficient problem solving method to allocation restricted resources by repositioning the specific university hospital through benchmarking with evaluation factors of the most market competitiveness university hospital. When Inje University Paik Hospital was benchmarked and repositioned, the share of Paik hospital increased and there was only 3.1% difference from Dongah Dong-A University Hospital, which occupied the first place in market competitiveness. Such the results of this study may suggestion management strategies to provide efficient problem solving methods when companies responding to rapidly changing management environments allocation restricted resources.

• The Korean Journal of Applied Statistics
• /
• v.28 no.1
• /
• pp.49-60
• /
• 2015

Various kinds of ordination methods such as correspondence analysis and canonical correspondence analysis are used in community ecology to visualize relationships among species, sites, and environmental variables. Ter Braak (1986), Jackson and Somers (1991), Parmer (1993), compared the ordination methods using eigenvalue and distance graph. However, these methods did not show the relationship between population and biplot because they are only based on surveyed data. In this paper, a method that measures the extent to show population information to biplot was introduced to compare ordination methods objectively.

• Journal of the Korean Statistical Society
• /
• v.25 no.4
• /
• pp.589-601
• /
• 1996

Geometric approach to extend the classical two-set theory of canonical correlation analysis to three or more sets is considered. It provides statistical graphs to represent the data in a low dimensional space. Procedures are developed for computing the canonical variables and the corresponding properties are investigated. The solution is equivalent to that of the usual problem in the case of two sets. Goodness-of-fit of the proposed plots is studied and a numerical example is included.

• Communications for Statistical Applications and Methods
• /
• v.3 no.1
• /
• pp.11-19
• /
• 1996

Canonical correlation analysis is a multivariate technique for identifying and quantifying the statistical relationship between two sets of variables. Like most multivariate techniques, the main objective of canonical correlation analysis is to reduce the dimensionality of the dataset. It would be particularly useful if high dimensional data can be represented in a low dimensional space. In this study, we will construct statistical graphs for paired sets of multivariate data. Specifically, plots of the observations as well as the variables are proposed. We discuss the geometric interpretation and goodness-of-fit of the proposed plots. We also provide a numerical example.

• Communications for Statistical Applications and Methods
• /
• v.20 no.3
• /
• pp.175-184
• /
• 2013

Kernel principal component analysis(PCA) maps observations in nonlinear feature space to a reduced dimensional plane of principal components. We do not need to specify the feature space explicitly because the procedure uses the kernel trick. In this paper, we propose a graphical scheme to represent variables in the kernel principal component analysis. In addition, we propose an index for individual variables to measure the importance in the principal component plane.

• Journal of the Korean Society of Food Culture
• /
• v.31 no.2
• /
• pp.121-130
• /
• 2016

This study attempted to understand the fast food brand personality in the domestic dining market to present the repositioning strategies within the competitive market. Positive analysis results were as follows. First, the five brand individualities of 'familiarity', 'passion', 'professionalism', 'reliability', and 'refinement' were derived. Second, the deductions made on perceptions of the population using a Biplot based on the brand personality showed that there were significant differences among the brand personality images of the brands, which were the targets of comparison. Third, there were significant between-group differences in the comparisons of perception among the subgroups according to gender, brand reliability, and brand satisfaction. Fourth, there were significant between-group differences in the consumer fast food brand preferences and ideal point. Such studies can provide information useful for establishing marketing differentiating strategies by grasping the brand personality of competing brands in the market.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.1
• /
• pp.188-197
• /
• 2012

DEA 모델중 널리 사용되는 교차평가모델(cross efficiency model)은 가중치에 제한을 두지 않고 어떤 특정분야에 탁월한 성과를 내는 DMU(Decision Making Unit)보다는 보다 전반적인 분야에서 두각을 나타내는 DMU를 선발함으로써 많은 연구자들이 DEA문헌에서 적용하여 왔다. 본 연구에서는 이러한 교차평가모델이 실제에 있어서는 암묵적으로 고정 가중치를 사용한다는 것과 동일한 결과를 나타낸다는 것을 분석적으로 밝혔다(one input, multi output case). 또한 multi-input, multi-output case의 경우에도 overall performer의 cluster에 근접한 대다수 DMU의 경우에는 고정 가중치를 사용한 경우와 거의 차이가 없음을 보였다. 교차평가 모델에 적용된 변수의 가중치를 보다 명확히 함으로써 연구자들이 모델의 평가결과를 이해하는데 도움이 될 수 있을 것이다. 또한 교차 평가의 가중치 도식을 더 명확히 보여주기 위해 biplot을 제안한다.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.62 no.4
• /
• pp.333-345
• /
• 2017

The potato tuber is known as a rich source of essential nutrients, used throughout the world. Although potato-breeding programs share some priorities, the major objective is to increase the genetic potential for yield through breeding or to eliminate hazards that reduce yield. Glycoalkaloids, which are considered a serious hazard to human health, accumulate naturally in potatoes during growth, harvesting, transportation, and storage. Here, we used the AMMI (additive main effects and multiplicative interaction) and GGE (Genotype main effect and genotype by environment interaction) biplot model, to evaluate tuber yield stability and glycoalkaloid content in six potato cultivars across three locations during 2012/2013. The environment on tuber yield had the greatest effect and accounted for 33.0% of the total sum squares; genotypes accounted for 3.8% and $G{\times}E$ interaction accounted for 11.1% which is the nest highest contribution. Conversely, the genotype on glycoalkaloid had the greatest effect and accounted for 82.4% of the total sum squares), whereas environment and $G{\times}E$ effects on this trait accounted for only 0.4% and 3.7%, respectively. Furthermore, potato genotype 'Superior', which covers most of the cultivated area, exhibited high yield performance with stability. 'Goun', which showed lower glycoalkaloid content, was the most suitable and desirable genotype. Results showed that, while tuber yield was more affected by the environment, glycoalkaloid content was more dependent on genotype. Further, the use of the AMMI and GGE biplot model generated more interactive visuals, facilitated the identification of superior genotypes, and suggested decisions on a variety of recommendations for specific environments.

• Journal of Distribution Science
• /
• v.12 no.2
• /
• pp.7-16
• /
• 2014

Purpose - The purpose of this study is to target Chinese consumers of Korean agri-food through the analysis of agri-food brand identity images to set future directions for proposed agri-food exports to China. Since negotiations began for a free trade agreement (FTA) between Korea and China, some Koreans have worried about the Korean agriculture sector. The world trading system has undergone many changes in recent years. Since the start of FTA negotiations on agriculture, China and Korea have faced a heightened sense of crisis. China is trying to export agricultural products so actively that its agricultural exports could increase by more than 7% annually. China exported about one-tenth of its agricultural products to Korea in the period 2002-2010. Recently, the importance of brand identity has tended to increase, as the world becomes one unified market. In this situation, we should try to promote agri-food exports to China. It is very important to understand consumers' recognition of Korean food and the image of the Korean agri-food industry, to establish an export strategy. Research design, data, and methodology - This study targeted 2,800 adult men and women aged 25-59 years living in four major cities in China (Beijing, Shanghai, Guangzhou, and Qingdao) with a household income within the top 10% level in the China, using the one-to-one interview survey method. In addition, four groups by region (eight people per group) for a total of 32 groups were surveyed by using the focus group interview (FGI) research method, and impressions of imported agri-food were surveyed using 17 questions about fresh agri-food and 22 questions on processed agri-food. Factor analysis, brand positioning, biplot analysis, and so on, were carried out based on the results of these surveys. This research presents the brand identity of Korean food; according to the analyses, the brand identity is based on trust, safety, and attractiveness. Result - Factor analysis results showed that Chinese consumers expect four major qualities in imported fresh agri-food: freshness/safety, attractive appearance, premium branding, and excellent taste/quality. In the case of processed agri-food, it turned out that Chinese consumers are focused on safety/hygiene/freshness, health, and taste. In addition, in the fresh agri-food analysis by country, American foods had the upper hand; the image of American foods was also recognized as the most positive for processed agri-food. Meanwhile, according to the biplot analysis, Korean agri-food is strongly preferred for its appearance, but no country is strongly preferred as regards the level of freshness/safety that is expected by Chinese consumers. Conclusions - In this study, we analyzed the image of imported agri-food expected by Chinese consumers by reconstructing agri-food characteristics from the brand perspective. The research result shows that a Korean brand identity must be the ultimate goal for activities undertaken to enhance the image of Korean agri-food in the future. Additional research is needed because brand image can be formed through various channels.