• Communications for Statistical Applications and Methods
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• v.19 no.4
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• pp.607-617
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• 2012

The goodness-of-fit test for multivariate normal distribution is important because most multivariate statistical methods are based on the assumption of multivariate normality. We propose goodness-of-fit test statistics for multivariate normality based on the modified squared distance. The empirical percentage points of the null distribution of the proposed statistics are presented via numerical simulations. We compare performance of several test statistics through a Monte Carlo simulation.

• Journal of the Korean Data and Information Science Society
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• v.14 no.2
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• pp.257-264
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• 2003

The perception of the importance of statistical methods for processing medical data in Korea's medical research and the practical use of the analysis method are insufficient. From this standpoint, in order to examine the features of the data analysis method used in the medical journals of Korea and America, we have examined the research papers which has been published in the exemplary medical journals of both countries. It showed that there was a large difference in the quantity and quality between Korea and America. Especially in the medical research of Korea, we could notice that the use of statistical methods were comparatively low. Hence the researchers in the medical area are encouraged to use more statistical methods in processing medical data.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.955-959
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• 2010

The statistical analysis module is developed for the part of the new standardized geotechnical database computer program. The purpose of this module is that the geotechnical engineers can optimize the underground construction process of the underdeveloped urban area rehabilitation by this module providing the statistical information for the geotechnical decision making and risk assessment. This module will be modified to offer the statistical information sustainable for the newly adapted geotechnical limit-state design methods.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.993-997
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• 2009

Clustering is well known method and that can be used in statistical machine translation. In this paper we propose a corpus clustering method using syntactic structure and POS information of dependency grammar. And using this cluster language model as additional feature to phrased-based statistical machine translation system to improve translation Quality.

• Communications for Statistical Applications and Methods
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• v.8 no.3
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• pp.625-632
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• 2001

Principal component analysis(PCA) is a multivariate technique falling under the general title of factor analysis. The purpose of PCA is to Identify the dependence structure behind a multivariate stochastic observation In order to obtain a compact description of it. In engineering field PCA is utilized mainly (or data compression and restoration. In this paper we propose a new robust Hebbian algorithm for robust PCA. This algorithm is based on a hyperbolic tangent function due to Hampel ef al.(1989) which is known to be robust in Statistics. We do two experiments to investigate the performance of the new robust Hebbian learning algorithm for robust PCA.

• Journal of the Korea Society of Computer and Information
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• v.4 no.2
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• pp.113-119
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• 1999

In this thesis Fortran and C Libraries are implemented and applied to the real situation of statistical simulation. They contain the routines of random number generators and for various statistical distributions which often used in stochastic simulation. They also contain the routines for calculating probabilities and upper quantiles of various statistical distributions Each routine of them was tested by the various procedures and proved to be very stable

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.375-384
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• 2007

As teachings that use the ICT are more popular, many studies on the dynamic geometry environment(DGE) are under way. An important factor emphasized in the studies is to practical use learning activities of learners. In this study, we first define the learning history data in DGE. Second we develop a prototype of the DGE that is able to collect and analyze the learning history data automatically. The environment enables not only to grasp leaning history but also to create and manage new learning objects.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.269-278
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• 2007

Nowadays, from the study of quantitative linguistics, the application of quantitative method is located in a variety of fields as a necessary method. According to this phenomenon, the knowledge of statistical method is requisite for linguists. However, unfortunately, there still remain difficulties for them to acquire the statistical knowledge. So, it is needed for linguists to be helped by statisticians and their active roles. Accordingly, this study is going to emphasizing that statisticians should have more interests in the field of quantitative linguistics. Moreover, it will prove that by using statistical methods, analysis on the linguistic research becomes more objective and scientific.

• Journal of the Korean Data and Information Science Society
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• v.12 no.1
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• pp.79-87
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• 2001

This paper tries to comprehensively investigate the problems of using methods especially statistical methods, which are currently emphasizing and controversial issues in the study of public administration, focusing on papers in Korean Public Administration Review for five years(1994 through 1998). Based upon the investigation, the purpose of the paper is to identify problems and recommend remedies in the education of statistical methods for the field of public administration.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.13 no.6
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• pp.510-520
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• 1988

In this paper, the output error variance due to the differential vcariation of the state-space coefficient [ABCD], which is the coefficient quentization error, is normalized on the variance for cases that infinite wordlength state-space digital filter is realized by the finite one. That is, defining S as the statistical sensitivity and extending controllability gramian, observability gramian, and 2nd order mode analysis method to the state space digital filter, we synthesize the realization structure with the minimum statistical sensitivity and prove the effecency of the minimum statistical sensitivity structure synthesis by the simulation.