• 통합자연과학논문집
• /
• 제5권3호
• /
• pp.151-156
• /
• 2012

Because of the equivalence between control chart procedures and hypothesis testing, we propose to use likelihood ratio test (LRT) statistic $Z_i^2$ as the multivariate control statistic for simultaneous monitoring means of the multivariate normal process. Properties and comparisons of the proposed control charts are explored and conducted for matched fixed sampling interval (FSI) and variable sampling interval (VSI) with two sampling interval charts. The result of numerical comparisons shows that EWMA chart with two sampling interval procedure is more efficient than the corresponding FSI chart for small or moderate changes. When large shift of the process has occurred, we also found that Shewhart chart is more efficient than EWMA chart.

• 한국컴퓨터정보학회논문지
• /
• 제24권9호
• /
• pp.143-150
• /
• 2019

In recent years, interest in internet primary bank has increased in South Korea, and marketing strategies for the success of the bank are needed. The purpose of this study is to analyze the effect of bank choice attributes on satisfaction and behavioral intention of Internet primary bank users. A convenience sampling was used and a structural equation of AMOS 20.0 was used for hypothesis testing. The results of the study are as follows. First, information, transaction, and communication of the choice attributes have positive effects on satisfaction. Second, information, transaction, and communication of the choice attributes have positive effects on behavioral intention. Third, satisfaction has a positive effect on behavioral intention. The theoretical and practical implications and limitations of the research are presented in the conclusion.

• 산업융합연구
• /
• 제1권2호
• /
• pp.125-140
• /
• 2003

This study examined testing condition when consumers have a strong ordinal preference and in a absence of established ordinal for a given attribute, how adding common features to two brands in a given product category affects brand choice. Research findings presented in this study are generally consistent with the preference confirmation view of choice. The data provides support for the proposition that (1) the effect of common features is moderated by the relative importance of brand attributes(Hypothesis 1) and (2) in the presence of primary attribute adding common features increases the likelihood of choosing the brand with the best value on this attribute(Hypotheses 2).

• Communications for Statistical Applications and Methods
• /
• 제26권1호
• /
• pp.57-67
• /
• 2019

Income distribution is a major concern in economic theory. In regional economics, it is often of interest to compare income distributions in different regions. Traditional methods often compare the income inequality of different regions by assuming parametric forms of the income distributions, or using summary statistics like the Gini coefficient. In this paper, we propose a nonparametric procedure to test for heterogeneity in income distributions among different regions, and a K-means clustering procedure for clustering income distributions based on energy distance. In simulation studies, it is shown that the energy distance based method has competitive results with other common methods in hypothesis testing, and the energy distance based clustering method performs well in the clustering problem. The proposed approaches are applied in analyzing data from China Health and Nutrition Survey 2011. The results indicate that there are significant differences among income distributions of the 12 provinces in the dataset. After applying a 4-means clustering algorithm, we obtained the clustering results of the income distributions in the 12 provinces.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권6호
• /
• pp.1996-2011
• /
• 2021

To understand a trend is to explore the intricate process of how something or a particular situation is constantly changing or developing in a certain direction. This exploration is about observing and describing an unknown field of knowledge, not testing theories or models with a preconceived hypothesis. The purpose is to gain knowledge we did not expect and to recognize the associations among the elements that were suspected or not. This generally requires examining a massive amount of data to find information that could be transformed into meaningful knowledge. That is, looking through the lens of big-data analytics with an inductive reasoning approach will help expand our understanding of the complex nature of a trend. The current study explored the trend of well-being in South Korea using big-data analytic techniques to discover hidden search patterns, associative rules, and keyword signals. Thereafter, a theory was developed based on inductive reasoning - namely the hook, upward push, and downward pull to elucidate a holistic picture of how big-data implications alongside social phenomena may have influenced the well-being trend.

• International Journal of Computer Science & Network Security
• /
• 제21권5호
• /
• pp.231-236
• /
• 2021

The purpose and hypothesis of the article was the need to solve the following research tasks: Analysis of psychological and pedagogical literature on the research problem. To identify and experimentally test the effectiveness of organizational and pedagogical conditions affecting the creative self-development of a distance learning student. Research methods: analysis of philosophical and psychological-pedagogical literature on the problem under study; pedagogical experiment; modeling, questioning, testing, analysis of the products of students' creative activity (essays, creative works, creative projects) and the implementation of educational tasks, conversations, observations.

• Ocean and Polar Research
• /
• 제44권2호
• /
• pp.179-190
• /
• 2022

Data missing in optical satellite images caused by natural variations have been a crucial barrier in observing the status of marine surfaces. Although there have been many attempts to fill the gaps of non-observation, there is little research to analyze the ratio of missing grids to overall sea grids and their seasonal patterns. This report introduces the method of quantifying the distribution of missing points and then shows how the missing points have spatial correlation and seasonal trends. Both temporal and spatial integration methods are compared to assess the effectiveness of reducing missing data. The temporal integration shows more outstanding performance than the spatial integration. Moran's I and K-function with statistical hypothesis testing show that missing grids are clustered and there is a non-random distribution from daily integration. The result of the seasonality test for Moran's I through a periodogram shows dependency on full-year, half-year, and quarter-year periods respectively. These analysis results can be used to deduce appropriate integration periods with permissible estimation errors.

• 반도체디스플레이기술학회지
• /
• 제22권3호
• /
• pp.136-141
• /
• 2023

Artificial intelligence is becoming a global hot topic and is being actively applied in various industrial fields. Not only is artificial intelligence being applied to industrial sites in an on-premises method, but cloud-based artificial intelligence platforms are expanding into "as a service" type. The purpose of this study is to develop and verify a measurement tool for an evaluation framework for the adoption of a cloud-based artificial intelligence platform and test the interrelationships of evaluation variables. To achieve this purpose, empirical testing was conducted to verify the hypothesis using an expanded technology acceptance model, and factors affecting the intention to adopt a cloud-based artificial intelligence platform were analyzed. The results of this study are intended to increase user awareness of cloud-based artificial intelligence platforms and help various industries adopt them through the evaluation framework.

• 대한간호학회지
• /
• 제27권4호
• /
• pp.912-922
• /
• 1997

The purpose of this study was to examine the effect of supportive nursing on stress reaction of breast cancer patients undergoing chemotherapy. The nonequivalent control group pre-test/post-test design was used for this experimental study. The subjects were 32 patients who were receiving chemotherapy after mastectomies at K hospital in Taegu from June, 1994 to June 1995. Among 32 subjects, 16 were placed in the experimental group and 16 in the control group. The experimental and control groups were tested for general characteristics, trait anxiety, health locus of control, family support, state anxiety, hopelessness, physical stress, and anxiety behavior. Collected data was analized by means of a chisquare test and a t-test for the comparative analysis of the general characteristics and homogeneity of subjects. ANOVA, and MANOVA were used for testing the hypothesis. Reliability of the tools were analyzed using the Pearson Correlation coefficient. The results of this study were as follows : 1. The hypothesis : The stress reaction of the experimental group which took supportive nursing was lower than the stress reaction of the control group : this was supported statistically. The main variable influenced in stress reaction was hopelessness. Supportive nursing for breast cancer patients, who are receiving chemotherapy, was especially effective in the reduction of hopelessness compared to state anxiety, physical stress, and anxiety behavior. 2. An analysis of the difference on stress reaction, according to the frequency of supportive nursing between the control and experimental group, showed the level of hopelessness of the experimental group was lower than the control group after four supportive meeting sessions. But there was no statistical difference in state anxiety, physical stress, and anxiety behavior. In conclusion, this study supported utilization of supportive care as well as demonstrating the effectiveness of the System-Developmental Stress Model developed by Chrisman and Riehl-Sisca.

• 한국조리학회지
• /
• 제6권3호
• /
• pp.329-342
• /
• 2000

The demographic characteristics of research examinees showed that male students were 122(44%) and female ones 155(56%), and teenagers 142 per age. The average monthly pocket money appeared that 96 students received more than 200,000(34.7%) and it was analyzed that 243(87.7%) resided in their homes. The research of fast-food choice factors resulted in the fact that female students who were easily influenced by their friends were 83, while males 57. And, mascom took influence on 40 female students and 20 male ones, besides other included 39 male and 30 female students. They most preferred hamburger and pizza(94) among the fast-food menus, and taste like seasame was most preferred among the characteristic factors of foods taste. And as a result of factor analysis of menu, Cronbach alpha coefficient Fc 2 of reliability appeared highest as 0.7694, next, Fc 3 as 0.6965, and Fc 1 lowest as 0.6403. The reliability among the specific items of this study may be regarded high. And the difference between groups according to gender appeared that Fc 1, Fc 2, and Fc 3 were significantly different at 5% level as a result of T-examination analysis and the distributed analysis of the average monthly pocket money resulted in the fact that the difference between groups appeared significantly at F3 below significant level of 0.05. The testing of the difference of reason why the fast-food is preferred according to frequency of use per week lead to Chi-square value of 41.399 with free degree of 12, so significant degree became 0.000. The zero hypothesis that the two variables are not independent each other is not reserved because it has a small value of signigicant degree below 0.05, and the permanent hypothesis is adopted.