• Journal of the Korean Data and Information Science Society
• /
• v.23 no.1
• /
• pp.191-198
• /
• 2012

Statistical analysis is a process which produces information based on data gathering and summary for final decision. In various application fields, we obtain information which supports final decision using statistical analysis. But statistical software program in PC (personal computer) is restricted by time and space. So web based system which can be used in web browser has been developed to minimize these restrictions. To overcome these restrictions, we have developed web based system for statistical analysis without a particular software.

• Proceedings of the Korean Statistical Society Conference
• /
• 2004.11a
• /
• pp.65-66
• /
• 2004

The aim of this article is to illustrate what soft computing is and how important it is.

• Journal of Korea Multimedia Society
• /
• v.20 no.2
• /
• pp.371-381
• /
• 2017

The performance of the statistical context-sensitive spelling error correction depends on the quality and quantity of the data for statistical language model. In general, the size and quality of data in a statistical language model are proportional. However, as the amount of data increases, the processing speed becomes slower and storage space also takes up a lot. We suggest the improved statistical language model to solve this problem. And we propose an effective spelling error candidate generation method based on a new statistical language model. The proposed statistical model and the correction method based on it improve the performance of the spelling error correction and processing speed.

• Journal of the Korean Data and Information Science Society
• /
• v.14 no.2
• /
• pp.337-343
• /
• 2003

In this paper we present the prediction interval estimation method using bootstrap method for least squares support vector machine(LS-SVM) regression, which allows us to perform even nonlinear regression by constructing a linear regression function in a high dimensional feature space. The bootstrap method is applied to generate the bootstrap sample for estimation of the covariance of the regression parameters consisting of the optimal bias and Lagrange multipliers. Experimental results are then presented which indicate the performance of this algorithm.

• Journal of the Korean Data and Information Science Society
• /
• v.14 no.1
• /
• pp.83-92
• /
• 2003

In this paper, we derive noninformative priors for the ratio of parameters in the Burr model. We obtain Jeffreys' prior, reference prior and second order probability matching prior. Also we prove that the noninformative prior matches the alternative coverage probabilities and a HPD matching prior up to the second order, respectively. Finally, we provide simulated frequentist coverage probabilities under the derived noninformative priors for small and moderate size of samples.

• Journal of the Korean Statistical Society
• /
• v.31 no.2
• /
• pp.237-250
• /
• 2002

Motivated by Cook's (1986) assessment of local influence by investigating the curvature of a surface associated with the overall discrepancy measure, this paper extends this idea to the linear regression model with AR(p) disturbances. Diagnostic for the linear regression models with AR(p) disturbances are discussed when simultaneous perturbations of the response vector are allowed. For the derived criterion, numerical studies demonstrate routine application of this work.

• Communications for Statistical Applications and Methods
• /
• v.4 no.2
• /
• pp.497-505
• /
• 1997

We attempt to get a probabilistic model of a queueing system in the maximum entropy condition. Applying the maximum entropy principle to the queueing system, we obtain the most uncertain probability model compatible with the available information expressed by moments.

• Communications for Statistical Applications and Methods
• /
• v.6 no.2
• /
• pp.397-402
• /
• 1999

We first derive the Fisher information identity in order statistics in terms of the hazard rate by considering the Fisher information identity in terms of the hazard rate (Efron and Johnstone, 1990). Then we use the identity and show an interesting and useful result that some identities and recurrence relations for the Fisher information in order statistics can be directly obtained from those between the c.d.f.s of order statistics.

• Communications for Statistical Applications and Methods
• /
• v.10 no.3
• /
• pp.665-678
• /
• 2003

In this paper we suggest the new calibration estimator, which is called to the recalibration estimator, and its variance estimator using two-phase sampling technique according to the auxiliary information having strong correlation with the variable of interest under the unit nonresponse. In this unit nonresponse situation, an available information may exists at the level of whole population or the first-phase sample. The proposed recalibration estimator derives from the first and second phase weights respectively.

• Honam Mathematical Journal
• /
• v.35 no.1
• /
• pp.29-35
• /
• 2013

The Fisher information matrix plays a significant role i statistical inference in connection with estimation and properties of variance of estimators. Using Bivariate Lomax distribution, we can define "statistical model" and drive the Fisher information matrix of Bivariate Lomax distribution. In this paper, we correct the wrong of the paper [7].