• 응용통계연구
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• 제20권1호
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• pp.11-22
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• 2007

통계청에서는 서비스업 총 조사를 매 5년을 주기로 실시하는데, 가장 최근의 서비스 산업 총 조사는 2001년에 실시되었다. 본 연구에서는 2001년에 조사된 사업체별 통계를 기업의 규모에 따른 기업체별 통계로 전환하여, 서비스 산업에서 중소기업이 차지하는 비중을 추정하는 새로운 방법을 제안하고자 한다. 이를 통해 중소기업의 전반적인 현황을 파악하는데 많은 도움이 되리라 기대한다.

• Communications for Statistical Applications and Methods
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• 제13권3호
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• pp.567-576
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• 2006

In this paper, we applied the multiblock dimension reduction methods to the classification of tumor based on microarray gene expressions data. This procedure involves clustering selected genes, multiblock dimension reduction and classification using linear discrimination analysis and quadratic discrimination analysis.

• Communications for Statistical Applications and Methods
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• 제2권1호
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• pp.99-111
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• 1995

It is shown that the adaptive kernel methods can potentially produce superior density estimates to the fixed one. In using the adaptive estimates, problems pertain to the initial choice of the estimate can be solved by iteration. Also, simultaneous recommended for variety of distributions. Some data-based method for the choice of the parameters are suggested based on simulation study.

• Communications for Statistical Applications and Methods
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• 제3권3호
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• pp.31-37
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• 1996

A hierarchical loglinear model comparison method is developed which is based on the well kmown partitioned likelihood ratio statistiss. For any paels, we can regard the difference of the geedness of fit statistics as the variation explained by a full model, and develop a partial test to compare a full model with a reduced model in that hierarchy. Note that this has similar arguments as that of the regression analysis.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2004년도 춘계학술발표대회 논문집 제23권 1호
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• pp.69-72
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• 2004

In this paper, we tried to develop a vowel training assistant method using vowel formant statistics. Formant statistics were obtained from PBW set consists of 452 words from 8 persons. Then, we calculated distance from input formants to each center of vowel formant space. Based on the distance, direct ions to correct the speaker's manner of articulation, i .e. position of jaw and tongue.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.325-328
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• 2003

In this paper, we tried to develop a vowel training assistant method using vowel formant statistics. Formant statistics were obtained from PBW set consists of 452 words from 8 persons. Then, we calculated distance from input formants to each center of vowel formant space. Based on the distance, directions to correct the speaker's manner of articulation, i.e. position of jaw and tongue.

• 한국음향학회:학술대회논문집
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• 한국음향학회 2002년도 하계학술발표대회 논문집 제21권 1호
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• pp.41-44
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• 2002

Blind source separation (BSS) is a fundamental problem that is encountered in many practical applications. In most existing methods, stationary sources are considered higher-order statistics is necessary either explicitly or implicitly. But, many natural signals are nonstationary, and it is possible to perform BSS using only second-order statistics. Our method is based on only second order statistics. The algorithms are developed using the gradient descent method in orthogonality constraint and their performance is confirmed by numerical experiments.

• Wind and Structures
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• 제6권5호
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• pp.357-386
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• 2003

A number of methods based on various ideas have been proposed for simulating the non-Gaussian stationary process. However, these methods have some limitations. This paper reviewed several simulation methods based on the translation method using logarithmic and polynomial functions, which have emerged in the history of statistics and in the field of civil engineering. The applicability of each method is discussed from the viewpoint of the reproducibility of higher order statistics of the object function in the simulated sample functions, and examined using pressure signals measured from wind tunnel experiments for various shapes of buildings. The parameter estimation methods, i.e. the method of moments and quantile plot, are also reviewed, and the useful aspects of each method are discussed. Additionally, a simple worksheet for parameter estimation is derived based on the method of moment for practical application, and the accuracy is discussed comparing with a set of previously proposed formulae.

• Communications for Statistical Applications and Methods
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• 제3권3호
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• pp.47-58
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• 1996

The generalized partial autocorrelation (GPAC) method of Woodward and Gray (1981) and the 3-pattern method of Choi (1991) have been used for identifying ARMA processes. The methods are based on the extended Yule-Walker equations. The purpose of this paper is to show the 3-pattern method is superior to the GPAC method through theoretical analysis and computer simulations.

• 대한설비관리학회지
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• 제23권4호
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.