• Korean Journal of Human Ecology
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• v.4 no.2
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• pp.123-140
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• 2001

The purpose of this study is to find the suitable suit design of mid-aged men by examining visual effects in Physical and Psychological side aspects. I used convenience sampling by considering sex and age distribution. These methods were used to analyze data that were frequency analysis, variate analysis, centesimal scale, primary factor analysis, three primary variate analysis, duality variate analysis, equation variate analysis and Cronbach's multiplex range verification 1. Image perception of men's suit was analyzed with arrangement, numbers of button, pattern and the shape of one's body and was divided into charming, youthfulness, modernism. affection and manly. 2. 1) There are partly resemblance difference in physical visual effect by the shape of body and suit design. 2) There are partly resemblance differences in psychological visual effect by one's shape and suit design. In conclusion arrangement, number of button and Pattern are very important to give an effect on whole visual effect man's suit. Also, these were felt differently in each types of body Therefore it is confirmed that the type of body is important fluent to make people perceive.

• Journal of Plant Biology
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• v.27 no.4
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• pp.223-231
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• 1984

Lichen communities at the Duckyoo National Park were studied by the analysis of concentration. Thirty three species of lichen identified were divided into three vegetational groups and fourty two stands into three environmental groups by sum of square algorithm. The sharpness of the nine blocks table is low, that is C=0.05, which means the divergency of lichen communities to be high. The result reveals that canonical first variate is 0.313 (91%) and second variate 0.100 (9%), and calculates the expected deviation from the first variate. The intermediate zone of environmental group is more important area to distribute lichen species than other zone. The computer program for this study was made by APPLE SOFT BASIC (DOS 3.3).

• The Korean Journal of Applied Statistics
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• v.20 no.2
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• pp.345-355
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• 2007

PLS methods are suited for regressing q-variate Y variables on p-variate X variables even in the presence of multicollinearity problem among X variables. Consequently, they are useful for analyzing datasets with smaller number of observations compared to the number of variables, such as NIR(near-infrared) spectroscopy data in chemometrics. In this study, we propose two visualizing methods of p-variate X variables and q-variate Y variable that can be used in connection with PLS analysis.

• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.139-155
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• 2000

An exclusive simulation study is conducted in computing means for order statistics in standard normal variate. Monte Carlo moments are used in Shapiro-Francia W' statistic computation. Finally, quantiles for Shapiro-Francia W' are generated. The study shows that in computing means for order statistics in standard normal variate, complicated distributions and intensive numerical integrations can be avoided by using Monte Carlo simulation. Lack of accuracy is minimal and computation simplicity is noteworthy.

• Journal of the Korean Statistical Society
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• v.35 no.4
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• pp.377-395
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• 2006

In this paper we have suggested a family of chain estimators of the population mean $\bar{Y}$ of a study variate y using two auxiliary variates in two phase (double) sampling assuming that the coefficient of variation of the second auxiliary variable is known. It is well known that chain estimators are traditionally formulated when the population mean $\bar{X}_1$ of one of the two auxiliary variables, say $x_1$, is not known but the population mean $\bar{X}_2$ of the other auxiliary variate $x_2$ is available and $x_1$ has higher degree of positive correlation with the study variate y than $x_2$ has with y, $x_2$ being closely related to $x_1$. Here the classes are constructed when the population mean $\bar{X}_1\;of\;X_1$ is not known and the coefficient of variation $C_{x2}\;of\;X_2$ is known instead of population mean $\bar{X}_2$. Asymptotic expressions for the bias and mean square error (MSE) of the suggested family have been obtained. An asymptotic optimum estimator (AOE) is also identified with its MSE formula. The optimum sample sizes of the preliminary and final samples have been derived under a linear cost function. An empirical study has been carried out to show the superiority of the constructed estimator over others.

• Communications for Statistical Applications and Methods
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• v.16 no.5
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• pp.821-840
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• 2009

This article addresses the problem of estimating a family of general population parameter ${\theta}_{({\alpha},{\beta})}$ using auxiliary information in the presence of measurement errors. The general results are then applied to estimate the coefficient of variation $C_Y$ of the study variable Y using the knowledge of the error variance ${\sigma}^2{_U}$ associated with the study variable Y, Based on large sample approximation, the optimal conditions are obtained and the situations are identified under which the proposed class of estimators would be better than conventional estimator. Application of the main result to bivariate normal population is illustrated.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.2
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• pp.172-179
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• 2010

Purpose: The purpose of this study was to examine the canonical correlation between organizational culture and nurses' informatics competency. Method: Participants in this study were 354 nurses from three hospitals and one university. The scales of organizational culture, informatics competency for nurses were used. Descriptive statistics, Pearson correlation coefficient, canonical correlation were used for data analysis. Results: The dominant organizational culture was hierarch-oriented culture. Nursing informatics competency of the participants was relatively low with a mean score 3.04. Organizational culture was related to informatics competency with 2 significant canonical variables. The first variate showed the higher four subcategories of organizational culture showed the better nursing informatics. The second variate indicated that nurses felt higher innovation-related and lower hierarch-related culture showed higher medical informatics-related software usage and computer related information management, lower perception of informatics and information search using internet. Conclusion: Organization culture has a major of impact on the success of information system use. Therefore, the continuous strategy for higher innovation-related organizational culture such as management support should be needed.

• Korean Journal of Child Studies
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• v.28 no.5
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• pp.253-267
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• 2007

This study examined the relationships between multiple intelligences as cognitive factors and affective factors of learning motivation and academic self-concept. The data were collected from 276 4th grade elementary school students and analyzed by correlation, multi-variate analysis, and step-wise multiple regression. Results were that (1) multiple intelligences, learning motivation, and academic self-concept had statistically significant correlations among themselves. Multi-variate analysis showed that intra-personal intelligence explained 58.6% of the linear combination of learning motivation and academic self-concept. (2) Intra-personal intelligence explained 29% to 58% of learning motivation and its sub-factors of achievement motivation, internal locus of control, self-efficacy, and self-regulation. (3) Intra-personal intelligence, logical-mathematical intelligence, musical intelligence, and inter-personal intelligence were explanatory variables for academic self-concept and its sub-factors.

• Journal of Wetlands Research
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• v.20 no.4
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• pp.338-344
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• 2018

In this study, the surface air temperature (SAT) and the dew-point temperature (DPT) are applied as the covariance of the location parameter among three parameters of GEV distribution to reflect the non-stationarity of extreme rainfall due to climate change. Busan station is selected as the study site and the monthly maximum daily rainfall depth from May to October is used for analysis. Various models are constructed to select the most appropriate co-variate(SAT and DPT) function for location parameter of GEV distribution, and the model with the smallest AIC(Akaike Information Criterion) is selected as the optimal model. As a result, it is found that the non-stationary GEV distribution with co-variate of exp(DPT) is the best. The selected model is used to analyze the effect of climate change scenarios on extreme rainfall quantile. It is confirmed that the design rainfall depth is highly likely to increase as the future DPT increases.

• Journal of Korean Academy of Nursing
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• v.35 no.1
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• pp.37-46
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• 2005

Purpose: The purpose of this longitudinal study was to examine the relationship between postpartum care performance and postpartum health status. Sample: The study subjects were 82 mothers who delivered full-term infants at 3 hospitals at P city. Data were collected for their health status at the postpartum unit and the sample was followed up to 6 weeks postpartum to collect postpartum care performance and health status. Results: Mothers rated postpartum care performance as moderate to high and especially rated the maternal role attainment the highest. Mothers experienced 4 physical symptoms and moderate levels of fatigue. In addition, they experienced moderate levels of positive affect and low levels of negative affect at both times. Canonical correlation revealed that ostpartum care performance was related to postpartum health status with 2 significant canonical variables. The first variate indicated that mothers who performed hospitality, physical and emotional recovery, self-caring, and role attainment well showed higher positive affects, lower negative affects, fewer physical symptoms, and lower levels of fatigue. The second variate showed that the greater the performance of caring and physical and emotional recovery, the fewer physical symptoms and lower levels of fatigue. Conclusion: Although Korean traditional postpartum care performance was related to postpartum health status, the further study is needed to identify the causal relationship between them. Nurses need to integrate the perspective of westernized postpartum care and Korean traditional views of postpartum approach to maintain and promote women's health.