• Communications for Statistical Applications and Methods
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• v.18 no.4
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• pp.423-431
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• 2011

For procuring more sensitive information and estimating stratum target population proportion as well as an overall one form a sensitive population composed of several strata we suggest a two-stage stratified unrelated question model that uses stratified random sampling instead of simple random sampling in the two-stage unrelated question model by Kim et al. (1992) and extend it to the three-stage stratified unrelated question model. We also deal with the proportional and optimal allocation problems in each suggested model, compare the relative efficiency of the suggested two models, and show that the three-stage stratified unrelated question model is more efficient than the two-stage one in view of the variance.

• Communications for Statistical Applications and Methods
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• v.20 no.5
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• pp.357-366
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• 2013

This paper defines an improvement for estimating the population mean of a study variable using auxiliary information and known values of certain population parameter(s), when there is a non-response in a study as well as on auxiliary variables. Under a simple random sampling without a replacement (SRSWOR) scheme, the mean square error (MSE) of all proposed estimators are obtained and compared with each other. Numerical illustration is also given.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.913-923
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• 2013

The purpose of this study was to provide a basis for the efficient and systematic management of the school physical education classes and to investigate the influence of sports club participation in school physical education classes. Three male and female middle school students by taking advantage of the simple random sampling method based on the D Metropolitan final 438 were selected for the study. The collected data, exploratory factor analysis, analysis of variance, correlation analysis, regression analysis was performed using the SPSS 20.0 program. The differences were most similar to the sports clubs and school physical education classes, according to the characteristics of personal satisfaction. The sports club activities, was affecting school physical education classes.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.253-263
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• 2017

It was conducted that yoga practice for the visually impaired Elderly has an influence on boby composition, flexibility and depression disease. Also, It has a purpose to provide a method of movement and basic materials for them. The 18 seventy-year-old men or women without any experience of yoga from the visually impaired association of the elderly in G city were participated in a training yoga session. This experiment was performed by simple random sampling with the nine of treat group (yoga training) and the nine of control group. The data was analyzed by covariance analysis with 0.05 significant level. The treat group were conducted twice a week to exercise (60mins) for twelve weeks. In conclusion, it is proved that yoga exercise has a positive effect on body composition, flexibility and depression disease.

• Journal of Advanced Navigation Technology
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• v.23 no.1
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• pp.20-35
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• 2019

In this article, we verified to influence on the performance through performance management system and public enterprise management evaluation implementation degree by the airport policy and leadership. Data collected from 533 employees of Incheon International Airport Corporation and Korea Airports Corporation. Sample extracted with a simple random sampling. Data analysis adopted structural equation modeling. The results of this research found that airport policy and leadership are the key variables influencing airport performance. This research verified a significant mediation effect on the public enterprise management evaluation implementation degree. Thus, this research assert that positive proposals for airport policy and insightful leadership must be taken. This paper explores new view in the public enterprise management evaluation research and offers practical help to researchers and practitioners in providing a direction for airport performance.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.289-303
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• 2022

The purpose of this study verify to influence the effect of the 4th industrial revolution recognized by airport operators on the airport management system and the moderator effects of convergence and leadership between these influence relationships. Data collected through a survey of airport operators using simple random sampling at six international airports in Korea. Data analysis performed using Structural Equation Modeling. The research results found that the 4th industrial revolution had a positive effect on the airport management system. Also, moderator effects of convergence and leadership found significant statistically. In this paper, we asserts that it should be reconstructed the airport management system as a system suitable for the era of the 4th industrial revolution. This paper provide theoretical data and directions for empirical research to airport researchers, and implications for airport enterprise managers and airport policy planners. The findings of this study are particularly helpful for international airports that have adopted the technologies of the Fourth Industrial Revolution.

• Communications for Statistical Applications and Methods
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• v.5 no.1
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• pp.133-144
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• 1998

In this paper, we propose the two-sample test statistic using Wilcoxon signed rank test on ranked-set sampling(RSS) and obtain the asymptotic relative efficiencies(ARE) of the proposed test statistic with respect to Mann-Whitney-Wilcoxon statistic on simple random sampling(SRS), the Mann-Whitney-Wilcoxon statistic on RSS, sign statistic on RSS and Wilcoxon signed rank test on SRS. From the simulation works, we compare the powers of the proposed test statistic, Mann-Whitney-Wilcoxon statistic on RSS, the usual two-sample t statistic, sign statistic on RSS, where the underlying distributions are uniform, normal, double exponential, logistic and Cauchy distributions.

• Journal of Integrative Natural Science
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• v.5 no.3
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• pp.182-185
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• 2012

In this paper, For 4th generation wireless communication systems, we propose a method to predict FH patterns in FH-OFDMA systems. OFDM is recognized as a promising modulation technique. Multi-user allocation in OFDM system can use FH that provides the spectrum-spread techniques. If one can generate more predictable FH sequences, then performance of the system can be easily improved. Current random FH and simple adaptive FH methods, however, are not considering predicting FH sequences. In this paper we show that the sampling of the wireless faded signal is not realized as a certain probability nature. With this regard, the proposed predictive FH allocation method is designed to embed the unknown probability models. Simulation study shows that the predictive FH method is more accurately predict FH sequences than the random or simple adaptive FH methods. We will further improve this proposed method to apply QoS control and MAC function development in OFDMA based wireless physical structures, especially maritime wireless data communications.

• Communications for Statistical Applications and Methods
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• v.22 no.2
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• pp.137-146
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• 2015

Singh (2013) considered the dual problem to the calibration of design weights to obtain a new generalized linear regression estimator (GREG) for the finite population total. In this work, we have made an attempt to suggest a way to use the dual calibration of the design weights in case of multi-auxiliary variables; in other words, we have made an attempt to give an answer to the concern in Remark 2 of Singh (2013) work. The same idea is also used to generalize the GREG estimator proposed by Deville and S$\ddot{a}$rndal (1992). It is not an easy task to find the optimum values of the parameters appear in our approach; therefore, few suggestions are mentioned to select values for such parameters based on a random sample. Based on real data set and under simple random sampling without replacement design, our approach is compared with other approaches mentioned in this paper and for different sample sizes. Simulation results show that all estimators have negligible relative bias, and the multivariate case of Singh (2013) estimator is more efficient than other estimators.

• Journal of Veterinary Clinics
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• v.28 no.4
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• pp.422-426
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• 2011

For a national survey in which wide geographic region or an entire country is targeted, multi-stage sampling approach is widely used to overcome the problem of simple random sampling, to consider both herd- and animallevel factors associated with disease occurrence, and to adjust clustering effect of disease in the population in the calculation of sample size. The aim of this study was to establish sample size for estimating bovine tuberculosis (TB) in Korea using stratified two-stage sampling design. The sample size was determined by taking into account the possible clustering of TB-infected animals on individual herds to increase the reliability of survey results. In this study, the country was stratified into nine provinces (administrative unit) and herd, the primary sampling unit, was considered as a cluster. For all analyses, design effect of 2, between-cluster prevalence of 50% to yield maximum sample size, and mean herd size of 65 were assumed due to lack of information available. Using a two-stage sampling scheme, the number of cattle sampled per herd was 65 cattle, regardless of confidence level, prevalence, and mean herd size examined. Number of clusters to be sampled at a 95% level of confidence was estimated to be 296, 74, 33, 19, 12, and 9 for desired precision of 0.01, 0.02, 0.03, 0.04, 0.05, and 0.06, respectively. Therefore, the total sample size with a 95% confidence level was 172,872, 43,218, 19,224, 10,818, 6,930, and 4,806 for desired precision ranging from 0.01 to 0.06. The sample size was increased with desired precision and design effect. In a situation where the number of cattle sampled per herd is fixed ranging from 5 to 40 with a 5-head interval, total sample size with a 95% confidence level was estimated to be 6,480, 10,080, 13,770, 17,280, 20.925, 24,570, 28,350, and 31,680, respectively. The percent increase in total sample size resulting from the use of intra-cluster correlation coefficient of 0.3 was 22.2, 32.1, 36.3, 39.6, 41.9, 42.9, 42,2, and 44.3%, respectively in comparison to the use of coefficient of 0.2.