• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.495-498
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• 1996

Regression model with nested error structure interval estimations about variability on different stages are proposed. This article derives an approximate confidence interval on the variance in the first stage and an exact confidence interval on the variance in the second stage in two stage regression model. The approximate confidence interval is based on Ting et al. (1990) method. Computer simulation is provided to show that the approximate confidence interval maintains the stated confidence coefficient.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.179-187
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• 2013

Bates and Watts (1981) have discussed the problems of reparameterizing nonlinear models in obtaining accurate linear approximation confidence regions for the parameters. A similar problem exists with computing confidence curves for fitted values or predictions. The statistical behavior of fitted values does not depend on the parameterization. Thus, as long as the intrinsic curvature is small, standard Wald intervals for fitted values are likely to be sufficient. Accuracy of linear approximation for fitted values is investigated using confidence curves.

• Journal of the Korean Data and Information Science Society
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• v.6 no.1
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• pp.73-83
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• 1995

We construct the approximate bootstrap confidence intervals for reliability (R) when the distributions of strength and stress are both normal. Also we propose percentile, bias correct (BC), bias correct acceleration (BCa), and percentile-t intervals for R. We compare with the accuracy of the proposed bootstrap confidence intervals and classical confidence interval based on asymptotic normal distribution through Monte Carlo simulation. Results indicate that the confidence intervals by bootstrap method work better than classical confidence interval. In particular, confidence intervals by BC and BCa method work well for small sample and/or large value of true reliability.

• Journal of dental hygiene science
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• v.18 no.5
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• pp.288-295
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• 2018

The purpose of this study was to investigate the attitudes and performing confidence, and factors influencing patient safety of dental hygiene students. The questionnaire contained items on the subjects' general characteristics, attitudes, and performing confidence in relation to patient safety. The self-reported questionnaire was administered to 287 dental hygiene students in Gwangju and Jeonnam, Korea from September to November 2017. We performed an independent t-test, one-way ANOVA analysis, Pearson's correlation coefficient, and multiple regression analysis using IBM SPSS ver. 21.0 software. As a result of differences in attitude, and performing confidence according to the general characteristics, attitude toward patient safety scored 3.48 out of 5 points, and was more positive in students from 4-year colleges, with high major satisfaction, and in students who answered that they needed patient safety education. Performing confidence for patient safety scored 3.57 out of 5 points, and was statistically significantly higher in 4-year college students, with higher major satisfaction, amongst those with experience in patient safety education, and when patient safety education was needed before clinical practice or employment. There were positive correlations between attitude and performing confidence for patient safety. As a result of analyzing the factors influencing attitude and performing confidence for patient safety, attitudes were higher with higher performing confidence and performing confidence had the highest satisfaction rate of the major and patient safety education experience. Therefore, it is necessary to provide systematic education at universities reflecting the characteristics of dental medical institutions, as well as developing various education contents and education methods.

• Journal of the Korean Data and Information Science Society
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• v.19 no.4
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• pp.1141-1151
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• 2008

Data mining is the process of sorting through large amounts of data and picking out useful information. One of the well-studied problems in data mining is the exploration of association rules. An association rule technique finds the relation among each items in massive volume database. Some interestingness measures have been developed in association rule mining. Interestingness measures are useful in that it shows the causes for pruning uninteresting rules statistically or logically. This paper propose a conditional pure confidence to evaluate association rules and then describe some properties for a proposed measure. The comparative studies with confidence and pure confidence are shown by numerical example. The results show that the conditional pure confidence is better than confidence or pure confidence.

• Journal of the Korean Data and Information Science Society
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• v.8 no.1
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• pp.59-70
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• 1997

We introduce several estimators of the location and the scale parameters of the two-parameter exponential distribution, and then compare these estimators by the mean square error (MSE). Using the parametric bootstrap estimators and the delete-d jackknife, we obtain the bootstrap and the delete-d jackknife confidence intervals for the location and the scale parameters and compare the bootstrap confidence intervals with the delete-d jackknife confidence intervals by length and coverage probability through Monte Carlo method.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.899-911
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• 2000

In this paper, we reviewed thirteen methods for finding confidence intervals for he mean of poisson distribution. Bootstrap confidence intervals are also introduced. Two bootstrap confidence intervals are compared with the other existing eleven confidence intervals by using Monte Carlo simulation with respect to the average coverage probability of Woodroofe and Jhun (1989).

• Korean Journal of Adult Nursing
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• v.22 no.4
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• pp.430-437
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• 2010

Purpose: The purpose of this study was to investigate the balance confidence and balance ability among community-residing stroke patients. Methods: The sample for this study was a convenience sample obtained from patients who visited welfare centers for the disabled in three cities from October to December in 2009. The Activities-specific Balance Confidence Scale and Berg Balance Scale were used to measure confidence in task performance and balance ability. Results: The level of balance confidence and balance ability were low in these subjects. There was a significant relationship between balance confidence and balance ability (r=.424, p=.000). Subjects with less balance ability felt less balance confidence. Conclusion: Among community-residing stroke patients, falls are common. Falls prevention which may contribute to the incidence of fall and fall related injury should be part of stroke rehabilitation plan. Also, it is necessary that an intervention for falls prevention after stroke should take into account factors such as the balance confidence and balance ability.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.3
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• pp.220-229
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• 2013

Purpose: The purpose of the study was to investigate activities-specific balance confidence and risk of fallings among rehabilitation patients with impaired of mobility, and to identify the influence of activities-specific balance confidence on their risk of fallings. Method: Data for 132 rehabilitation patients were collected between October June 20 and August 20, 2012 at nine hospitals in a metropolitan city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression with SPSS/WIN 20.0. Result: The mean score for rehabilitation patients' activities-specific balance confidence was 40.18 out of a possible range of 0-100 and the mean score for risk of fallings among rehabilitation patients was 31.10 within a possible range of 0-125. Significant factors affecting the risk of fallings among the rehabilitation patients were 'activity level', 'dementia', 'body mass index', 'anxiety', and 'presence of a caregiver', which together explained 34.7% of the variance. The most significantly factor influencing rehabilitation patients' risk of fallings was activities-specific balance confidence which explained 23.5% of the variance. Conclusion: The study results indicate that activities-specific balance confidence as well as physical factors should be considered for interventions to decrease risk of fallings in rehabilitation patients with impaired mobility.

• Journal of the Korean Data and Information Science Society
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• v.8 no.2
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• pp.261-270
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• 1997

This paper is proposed the parametric empirical Bayes(EB) confidence intervals which corrects the deficiencies in the naive EB confidence intervals of the scale parameter in the Weibull distribution under item-censoring scheme. In this case, the bootstrap EB confidence intervals are obtained by the parametric bootstrap introduced by Laird and Louis(1987). The comparisons among the bootstrap and the naive EB confidence intervals through Monte Carlo study are also presented.