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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Data and Information Science Society
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Korean Data and Information Science Society
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Volume & Issues
Volume 23, Issue 6 - Nov 2012
Volume 23, Issue 5 - Sep 2012
Volume 23, Issue 4 - Jul 2012
Volume 23, Issue 3 - May 2012
Volume 23, Issue 2 - Mar 2012
Volume 23, Issue 1 - Jan 2012
Selecting the target year
Reviews and prospects on the official statistical system in Korea
Yi, In-Sill ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 419~446
DOI : 10.7465/jkdi.2012.23.3.419
National statistical system in Korea has developed along with national economic agenda such as a government oriented high economic growth and has formed to a typical diversified statistical system. While the national statistics have been produced whenever they are needed, they are facing the critics that production of basic statistics were lack of balance. Grasping the statistical demand properly, enhancing the statistical concurrence with international organization, preventing the production of overlapped and similar statistics, and improving the professionalism of manpower in statistical industry are the structural problems that Korean statistical system has to get over. It is important to strengthen the coordination mechanism and the governance structure of the national statistical system to level up the integrity and credibility of statistical program. The length of Chief Statistician`s tenure need to be assured.
Meta analysis on the effect of reading development program on reading comprehension
Lee, Hyo-Jin ; Oh, Hee-Hwa ; Choi, Kyoung-Ho ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 447~455
DOI : 10.7465/jkdi.2012.23.3.447
The purpose of this study is to examine the effect of reading development program on reading comprehension using meta-analysis method. The authors synthesized 70 studies regarding reading comprehension conducted during 2001 through 2011. The analyses revealed that 1) the average effect size of the reading development program yielded.763, which is regarded considerably large, 2) the effect size of elementary school group was the biggest, 1.030. There were statistically significant differences amongst school levels, 3) the average effect size of published journal articles was 1.250, which is statistically significantly larger than that of dissertation`s.700, 4) regarding the methods to measure the effect of reading comprehension, the effect size of reading method was larger, and 5) the effect size of Korean reading development program was statistically larger than that of English reading development program. This study has limitation as it didn`t include unpublished manuscripts, conference presentations, and the like, however this study is meaningful in terms that it tried to draw integrated conclusion about the effect of reading development programs using meta-analysis.
The correlation and regression analyses based on variable selection for the university evaluation index
Song, Pil-Jun ; Kim, Jong-Tae ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 457~465
DOI : 10.7465/jkdi.2012.23.3.457
The purpose of this study is to analyze the association between indicators and to find statistical models based on important indicators at `College Notifier` in Korea Council for University Education. First, Pearson correlation coefficients are used to find statistically significant correlations. By variable selection method, the important indicators are selected and their coefficients are estimated. As variable selection method, backward and stepwise methods are employed.
Major gene interaction identification in Hanwoo by adjusted environmental effects
Lee, Jea-Young ; Jin, Mi-Hyun ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 467~474
DOI : 10.7465/jkdi.2012.23.3.467
Human diseases and livestock economic traits are not typically the result of variation of a single genetic locus, but are rather the result of interplay between interactions among multiple genes and a variety of environmental exposures. We have used linear regression model for adjusted environmental effects and multifactor dimensionality reduction (MDR) method to identify gene-gene interaction effect of statistical model in general. Of course, we use 5 SNPs (single uncleotide polymorphism) which were studied recently by Oh et al. (2011). We apply the MDR (multifactor demensionality reduction) method on the identify major interaction effects of single nucleotide polymorphisms responsible for economic traits in a Korean cattle population.
The relationship between sport talent development environment and achievement goal in sport of college athletes
Lee, Mi-Sook ; Kim, Ye-Sung ; Choi, Young-Jun ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 475~485
DOI : 10.7465/jkdi.2012.23.3.475
The purpose of this study was to examine the impact of the Sport Talent Development Environment on the Achievement Goal in Sport of college athletes. The Sport Talent Development Environment (Martindale et al., 2010) had seven factors, but only four factors (long-term development, lack of quality preparation, communication, lack of understanding) were used after exploratory factor analysis. The Achievement Goals in Sport (Wang et al., 2007) was composed of four factors (mastery approach, mastery avoidance, performance mastery, performance avoidance). The results showed that 1)long-term development factor and communication factor of male athletes were significantly higher than female athletes while lack of understanding factor of female athletes were significantly higher than male athletes, 2)mastery avoidance factor of female athletes was significantly higher than male athletes, and 3)factors of development environment accounted for 27.8% to 34.5%-male athletes and for 13.2% to 22.7%-female athletes variance in the four achievement goals. Therefore, it is important for coaches and sport administrators to take these results into consideration when designing an effective talent development program.
Estimable functions of fixed-effects model by projections
Choi, Jae-Sung ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 487~494
DOI : 10.7465/jkdi.2012.23.3.487
This paper discusses a method for getting a basis set of estimable functions of model parameters in a two-way fixed effects model. Since the fixed effects model has more parameters than those that can be estimated, model parameters are not estimable. So it is not possible to make inferences for nonestimable functions of parameters. When the assumed model of matrix notation is reparameterized by the estimable functions in a basis set, it also discusses how to use projections for the estimation of estimable functions.
A statistical model for interview score based on projection
Park, Cheol-Yong ; Kim, Hyun-Wook ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 495~504
DOI : 10.7465/jkdi.2012.23.3.495
In this study, we propose a statistical model based on projection that generates interview scores. In this model, each interviewee`s true score and its related variable are viewed as X, Y values respectively in the two dimensional plane, and each interviewer`s score is the projected score of true score X to the axis rotated by some angle, which reflects the interviewer`s perspective. Each interviewer`s observed interview score is obtained by adding personal bias and observed error to this projected score. We compared commonly used standardizing methods of interview scores such as trimmed mean method, rank method, and z-score method based on the proposed statistical model. In this simulation, two types of interview methods, two numbers of interviewers, two degrees of interviewers` expertise and two distributions and three correlations between actual score and its related variable are all considered.
Effectiveness of golf skills to average score in PGA
Kim, Sae-Hyung ; Lee, Jun-Woo ; Lee, Mi-Sook ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 505~514
DOI : 10.7465/jkdi.2012.23.3.505
This study is for effectiveness of golf skills to average score using path analysis in Professional golf association. The variables in this study were that seven independent variable were driving accuracy, green in regulation, driving distance, sand save ratio, scrambling, putting average, and two endogenous variables were birdie average, bogey average, and dependent variable was the scoring average. To analyze these variables, path analysis was used through AMOS 18.0 program and Alpha level sets at.05. As the result, the final model had significant goodness-of-fit (GFI
A study on the segmentation of real estate customer using RFMP
Cho, Kwang-Hyun ; Park, Hee-Chang ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 515~523
DOI : 10.7465/jkdi.2012.23.3.515
Most companies make efforts to maximize their profitability by improving loyalty to existing customers through customer relationship management (CRM). According to the Wikipedia, CRM is a widely implemented strategy for managing a company`s interactions with customers, clients and sales prospects. And RFM is a method used for analyzing customer behavior and defining market segments. It is commonly used in database marketing and direct marketing and has received particular attention in retail. In general, one considers recency, frequency, and monetary for customer segmentation in RFM method. In this paper, we apply RFMP method added to the purchase period of advertising items in the traditional RFM model for real estate customer segmentation. We will be able to establish the differentiated marketing strategy by RFMP method.
An improvement for the employment rate of the S/W and H/W majors
Lee, Seung-Woo ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 525~534
DOI : 10.7465/jkdi.2012.23.3.525
The purpose of this study is to increase the employment rate of graduates in the fields of the S/W and H/W. In order to seek employment in various major fields of the S/W and H/W, firstly, this paper proposes the educational case study that increases the concern about employment and develops learner`s ability in the unfavorable major fields. Secondly, this paper presents the future driving improvement for the employment rate on the basis of the department`s special characteristics and the actual circumstances in the fields of the S/W and H/W. This paper conducts the surveys of each 40 seniors majoring in S/W and H/W respectively in order to measure the understanding of probability/statistics which has been used as tools in the unfavorable major fields. With the purpose of increasement on the employment rate, the paper is designed to have 3 steps, that is, a preliminary questionnaire for employment preference, major courses connecting probability/statistics and a post-questionnaire for employment preference, which eventually investigates the changes of the perception on employment. This paper is verified by the multiple regression analysis to approve the effect on improving learner`s academic achievement.
Analysis of time series models for consumer price index
Lee, Hoon-Ja ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 535~542
DOI : 10.7465/jkdi.2012.23.3.535
The consumer price index (CPI) data is one of the important economic measurement of the country. In this article, the Autoregressive Error (ARE) model has been considered for analyzing the monthly CPI data at Seoul, Pusan, Daegu, and Gwangju Cities in Korea, In the ARE model, nine economic variables are used as the explanatory variables for the CPI data set. The nine explanatory variables are CCI (coincident composite index), won-dollar rate, producer price index, oil import price, oil import volume, international current account, import price index, unemployment rate, and amount of currency. The result showed that the monthly ARE models explained about 46-52% for describing the CPI.
An analysis on determinants of the private education expenses from a viewpoint of housewives
Kang, Sung-Ho ; Lim, Byung-In ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 543~558
DOI : 10.7465/jkdi.2012.23.3.543
Our study examines if the existence of a housewife in a family increases private education fees or not, which have continued to burden the family expenditure in Korea. Main findings are as follows: First, the existence of a housewife in a family have an positive impact on the private education expenses, irrespective of the model. Second, the higher decile the less the effect of the housewife on the private education cost. However, the first decile is an exception. Third, the housewife effect of a laborer family is stronger than that of a non-laborer family. It implies that laborers who earn the income regularly expend more money on their children`s private education than nonlaborers.
A study on the relations between the quality of life and the life satisfaction of the elderly
Choi, Hyun-Seok ; Ha, Jeong-Cheol ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 559~568
DOI : 10.7465/jkdi.2012.23.3.559
This paper deals with the relations between the quality of life and the life satisfaction of the elderly based on the 2008 national survey data of the actual living condition of the elderly and welfare need. We found that the questions about the quality of life is categorized by three groups such as self consolidation, harmony between generations and hope for later activity, which is the order of the power of the affection to life satisfaction. The result of this paper could be used as a basic document for taking efficient actions for the welfare services to the elderly.
Prediction of bankruptcy data using machine learning techniques
Park, Dong-Joon ; Yun, Ye-Boon ; Yoon, Min ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 569~577
DOI : 10.7465/jkdi.2012.23.3.569
The analysis and management of business failure has been recognized to be important in the area of financial management in the evaluation of firms` performance and the assessment of their viability. To this end, effective failure-prediction models are needed. This paper describes a new approach to prediction of business failure using the total margin algorithm which is a kind of support vector machine. It will be shown that the proposed method can evaluate the risk of failure better than existing methods through some real data.
Study on semi-supervised local constant regression estimation
Seok, Kyung-Ha ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 579~585
DOI : 10.7465/jkdi.2012.23.3.579
Many different semi-supervised learning algorithms have been proposed for use wit unlabeled data. However, most of them focus on classification problems. In this paper we propose a semi-supervised regression algorithm called the semi-supervised local constant estimator (SSLCE), based on the local constant estimator (LCE), and reveal the asymptotic properties of SSLCE. We also show that the SSLCE has a faster convergence rate than that of the LCE when a well chosen weighting factor is employed. Our experiment with synthetic data shows that the SSLCE can improve performance with unlabeled data, and we recommend its use with the proper size of unlabeled data.
Bayesian estimation for finite population proportions in multinomial data
Kwak, Sang-Gyu ; Kim, Dal-Ho ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 587~593
DOI : 10.7465/jkdi.2012.23.3.587
We study Bayesian estimates for finite population proportions in multinomial problems. To do this, we consider a three-stage hierarchical Bayesian model. For prior, we use Dirichlet density to model each cell probability in each cluster. Our method does not require complicated computation such as Metropolis-Hastings algorithm to draw samples from each density of parameters. We draw samples using Gibbs sampler with grid method. We apply this algorithm to a couple of simulation data under three scenarios and we estimate the finite population proportions using two kinds of approaches We compare results with the point estimates of finite population proportions and their standard deviations. Finally, we check the consistency of computation using differen samples drawn from distinct iterates.
Computations of the Lyapunov exponents from time series
Kim, Dong-Seok ; Park, Eun-Young ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 595~604
DOI : 10.7465/jkdi.2012.23.3.595
In this article, we consider chaotic behavior happened in nonsmooth dynamical systems. To quantify such a behavior, a computation of Lyapunov exponents for chaotic orbits of a given nonsmooth dynamical system is focused. The Lyapunov exponent is a very important concept in chaotic theory, because this quantity measures the sensitive dependence on initial conditions in dynamical systems. Therefore, Lyapunov exponents can decide whether an orbit is chaos or not. To measure the sensitive dependence on initial conditions for nonsmooth dynamical systems, the calculation of Lyapunov exponent plays a key role, but in a theoretical point of view or based on the definition of Lyapunov exponents, Lyapunov exponents of nonsmooth orbit could not be calculated easily, because the Jacobian derivative at some point in the orbit may not exists. We use an algorithmic calculation method for computing Lyapunov exponents using time series for a two dimensional piecewise smooth dynamic system.
Default Bayesian testing on the common mean of several normal distributions
Kang, Sang-Gil ; Kim, Dal-Ho ; Lee, Woo-Dong ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 605~616
DOI : 10.7465/jkdi.2012.23.3.605
This article deals with the problem of testing on the common mean of several normal populations. We propose Bayesian hypothesis testing procedures for the common normal mean under the noninformative prior. The noninformative prior is usually improper and yields a calibration problem that makes the Bayes factor to be defined u to a multiplicative constant. So we propose the default Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factors under the reference priors. Simulation study and an example are provided.
Multivariate Shewhart control charts for monitoring the variance-covariance matrix
Jeong, Jeong-Im ; Cho, Gyo-Young ;
Journal of the Korean Data and Information Science Society, volume 23, issue 3, 2012, Pages 617~626
DOI : 10.7465/jkdi.2012.23.3.617
Multivariate Shewhart control charts are considered for the simultaneous monitoring the variance-covariance matrix when the joint distribution of process variables is multivariate normal. The performances of the multivariate Shewhart control charts based on control statistic proposed by Hotelling (1947) are evaluated in term of average run length (ARL) for 2 or 4 correlated variables, 2 or 4 samples at each sampling point. The performance is investigated in three cases, that is, the variances, covariances, and variances and covariances are changed respectively.