• 여성건강간호학회지
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• 제14권3호
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• pp.213-221
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• 2008

Purpose: This study aimed to examine the accuracy and adequacy of research papers reporting statistical testings for correlation and regression. Method: Original research articles utilized correlation and regression analysis were reviewed from the Korean Journal of Women Health Nursing published from the year 2004 to 2006. Thirty-six papers were evaluated in accordance with formatted criteria in respect to an inclusiveness of research title, accuracy of statistical methods and presentation styles, and errors in reporting statistical outcomes. Result: Thirty articles (83.3%) utilized Pearson's correlational analysis, and ten articles did regression analysis. Lack of accurate understanding and interpretation of the statistical method was a main fault. Basic assumptions and diagnostic testings for each statistical method were not performed or described in most of the studies. Some points like consistency of research questions with statistical methods and criteria for sample size were still left out in part. Details of the presentation in the reporting of outcomes were not complied with the guidelines, which need careful concerns of the writers. Errors in English of result tables were found in more than one third of the tables. Conclusion: The outcome would be reflected in the submission guidelines for future writers. To reach the level comparable with internationally recognized nursing journals, concrete knowledge to apply statistical methods should be ensured in the processes of submission, reviews, and editing.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 1993년도 봄 학술회 논문집
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• pp.27-32
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• 1993

In tunnelling by NATM convergence data are most Importantly to ascertain the safety of tunnel. Therefore, a reliable method is required that can predict ultimate displacements by using earler displacement data. Displacement forecasting method is classified into statistical method and functional regression method. Convergence data measured in Seoul subway 5~45 site during '92.5 ~ '92.12 were analyzed by above said two methods. The analysis results of convergence data show that the functional regression method is more relieable in completely weathered rock, but the statistical method in slightly wearhred rock.

• Structural Engineering and Mechanics
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• 제38권6호
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• pp.715-732
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• 2011

A novel structural damage detection method with a new damage index has been recently proposed by the authors based on the statistical moments of dynamic responses of shear building structures subject to white noise ground motion. The statistical moment-based damage detection (SMBDD) method is theoretically extended in this paper with general application. The generalized SMBDD method is more versatile and can identify damage locations and damage severities of many types of building structures under various external excitations. In particular, the incomplete measurements can be considered by the proposed method without mode shape expansion or model reduction. Various damage scenarios of two general forms of building structures with incomplete measurements are investigated in consideration of different excitations. The effects of measurement noise are also investigated. The damage locations and damage severities are correctly identified even when a high noise level of 15% and incomplete measurements are considered. The effectiveness and versatility of the generalized SMBDD method are demonstrated.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2004년도 추계학술대회
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• pp.852-857
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• 2004

A new and efficient method for estimating the statistical moments of a system performance function has been developed. The method consists of two steps: (1) An approximate response surface is generated by a quadratic regression model, and (2) the statistical moments of the regression model are then calculated by experimental design techniques proposed by Seo and $Kwak^{(4)}$. In this approach, the size of experimental region affects the accuracy of the statistical moments. Therefore, the region size should be selected suitably. The D-optimal design and the central composite design are adopted over the selected experimental region for the regression model. Finally, the Pearson system is adopted to decide the distribution type of the system performance function and to analyze structural reliability.

• The Journal of Korean Physical Therapy
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• 제14권1호
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• pp.177-186
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• 2002

The purpose of this study was to contribute to the development of clinical instruction by students ratings of teaching effectiveness in clinical education. The instrument used in this study was teaching effectiveness of clinical nursing by Yu and modified evaluation method by Kern and Mickelson. The results were are follows 1. Among the 12 categorial components of clinical teaching effectiveness, the highest satisfaction was 'encouraging to think for themselves' and the lowest was 'attitude of teacher and evaluation' 2. To compare teaching effectiveness between sex, 'resource for student' and 'professional competence' showed statistical significance. 3. To compare teaching effectiveness among clinical practice stage, 'encouraging' 'role model', 'professional competence', 'organization of subject mater' and 'attitude of teacher and evaluation' showed statistical significance. 5. Interrater ICCs for evaluation method did not showed statistical significance and interitem ICCs showed statistical significance. This article presents goal of clinical education, development of clinical instructor's educational program and a standardized method to measure clinical performance.

• 대한산업공학회지
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• 제24권2호
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• pp.175-183
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• 1998

When a product is designed, tolerances must be given to the product so that required functions are guaranteed and production costs are minimized. In this research, a model is suggested which allocates tolerances to components optimally according to the STA(Statistical Tolerance Allocation) method. Taking into account the concept that dimensional errors have characteristics of statistical distributions, this model presents the discrete pseudo-boolean approach for the tolerance optimization by minimizing the tolerance cost and the quality loss cost. In this approach, two methods are proposed for the reduction of the problem scale; 1) a method for converting the minimization model for casts into the maximization model for cost savings, and 2) procedures to reduce the number of constraints and variables.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권12호
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• pp.993-997
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• 2009

클러스터링 기법은 다양한 분야에서 이용되어 왔으며, 통계 기반 기계번역에서도 익히 사용된 기법이다. 그러나 기존의 연구에서는 깊이 있는 문법적인 분석 없이 기계학습 기법을 사용하거나, 문장구조의 정보를 사용하더라도 정규식을 이용하여 판별하는 선에서 그치는 경우가 많았다. 본 논문에서는 각 문장의 의존관계 문법에 따른 구조와 조사 등의 품사 정보를 사용하여 문장구조를 파악하고 유형별로 분류하여 각각에 특화된 언어모델을 획득하는 방법과, 이를 구 기반 통계기계번역에 추가적인 정보로 사용하여 번역성능을 향상하는 데 이용하는 방법을 제안한다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2002년도 하계학술대회 논문집 Vol.3 No.2
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• pp.927-930
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• 2002

The HFPD measurement method is a technique to analyze aging state of high voltage insulation materials and detect higher frequency signals than conventional PD measurement method therefore it takes less noise effect and could execute active line measurement. It is possible to analyze main discharge phenomena and obtain access to aging progress occurred in insulation materials through accumulation of HFPD signals during determined interval and expression of fractal dimension using statistical process of accumulated signals. In this study, the statistical parameters (skewness & kurtosis) and fractal dimensions are changed by discharge patterns that is shown up different characteristics with applied voltages and times.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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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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• 제18권4호
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• pp.879-890
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• 2007

Statistical matching is a method of data integration for data sources that do not share the same units. It could produce rapidly lots of new information at low cost and decrease the response burden affecting the quality of data. This paper proposes a statistical matching technique combining k-NN (k-nearest neighborhood) and regression methods. We select k records in a donor file that have similarity in value with a specific observation of the common variable in a recipient file and estimate an imputation value for the recipient file, using regression modeling in the donor file. An empirical comparison study is conducted to show the properties of the proposed method.