• Journal of the Korean Statistical Society
• /
• 제9권1호
• /
• pp.13-29
• /
• 1980

The statistical theory of factor analysis is briefly reviewed with emphasis on the maximum-likelihood method. A modified version of Joreskog(1975) is used for the implementation of the maximum-likelihood method. For the minimization of the conditional minimum function, an adaptive Newton-Raphson method is applied.

• 한국세라믹학회지
• /
• 제36권10호
• /
• pp.1069-1074
• /
• 1999

• 품질경영학회지
• /
• 제13권1호
• /
• pp.12-19
• /
• 1985

First of all, the necessity of statistical packages, and the strengths and weaknesses of microcomputers for statistical data ana!ysis are examined in this paper. Secondly, some statistical packages available for microcomputers in the international market are introduced, and the contents of two statistical packages developed by the author are presented.

• East Asian mathematical journal
• /
• 제35권4호
• /
• pp.429-449
• /
• 2019

This study aims to investigate the statistical literacy of pre-service mathematics teachers and to discuss the impact of statistical literacy in lesson plan. For the purpose of this study, we analyzed 13 pre-service mathematics teachers' statistical literacy tests and lesson plans. The results of this analysis are as follows: First, pre-service mathematics teachers did not have a high level of statistical literacy, and it was also observed that there was a big level difference between them. Second, pre-service mathematics teachers' lesson plans showed significant difference in the level of the target grade, the characteristics of the target student, and the contents. Based on this study, we seek to find implications for how it is appropriate to educate teachers in charge of statistical education.

• 한국해양공학회지
• /
• 제23권6호
• /
• pp.71-76
• /
• 2009

This paper describes a statistical analysis method for predicting a coast fishing boat's effective horsepower. The EHP estimation method for small coast fishing boats was developed, based on a statistical regression analysis of model test results in a circulating water channel. The statistical regression formula of a fishing boat's effective horsepower is determined from the regression analysis of the resistance test results for 15 actual coast fishing boats. This method was applied to the effective horsepower prediction of a G/T 4 ton class coast fishing boat. From the estimation of the effective horsepower using this regression formula and the experimental model test of the G/T 4 ton class coast fishing boat, the estimation accuracy was verified under 10 percent of the design speed. However, the effective horsepower prediction method for coast fishing boats using the regression formula will be used at the initial design and hull-form development stage.

• Journal of Advanced Research in Ocean Engineering
• /
• 제4권4호
• /
• pp.185-194
• /
• 2018

In this study, the extreme sloshing pressure was predicted using various statistical models: three-parameter Weibull distribution, generalized Pareto distribution, generalized extreme value distribution, and three-parameter log-logistic distribution. The estimation of sloshing impact pressure is important in design of liquid cargo tank in severe sea state. In order to get the extreme values of local impact pressures, a lot of model tests have been carried out and statistical analysis has been performed. Three-parameter Weibull distribution and generalized Pareto distribution are widely used as the statistical analysis method in sloshing phenomenon, but generalized extreme value distribution and three-parameter log-logistic distribution are added in this study. Additionally, statistical distributions are fitted to peak pressure data using three different parameter estimation methods. The data were obtained from a three-dimensional sloshing model text conducted at Seoul National University. The loading conditions were 20%, 50%, and 95% of tank height, and the analysis was performed based on the measured impact pressure on four significant panels with large sloshing impacts. These fittings were compared by observing probability of exceedance diagrams and probability plot correlation coefficient test for goodness-of-fit.

• Communications for Statistical Applications and Methods
• /
• 제3권1호
• /
• pp.11-19
• /
• 1996

Canonical correlation analysis is a multivariate technique for identifying and quantifying the statistical relationship between two sets of variables. Like most multivariate techniques, the main objective of canonical correlation analysis is to reduce the dimensionality of the dataset. It would be particularly useful if high dimensional data can be represented in a low dimensional space. In this study, we will construct statistical graphs for paired sets of multivariate data. Specifically, plots of the observations as well as the variables are proposed. We discuss the geometric interpretation and goodness-of-fit of the proposed plots. We also provide a numerical example.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제1권1호
• /
• pp.17-33
• /
• 2001

The characteristics of Weibull distribution are investigated as a function of shape parameter. The statistical estimation methods of the shape parameter and statistical comparison methods of two or more shape parameters are studied. Assuming Weibull distribution, statistical analysis of bending-strength data of alumina titanium carbide ceramic matrix composites machined two different methods are performed.

• 한국연초학회지
• /
• 제23권1호
• /
• pp.53-59
• /
• 2001

To decrease of deviations from target specifications and excessive variability around targe, we exclusively designed statistical process control system involving general manager and expert tool for cigarette manufacturing process. This system is a unique programming environment for the development of total process control software including various control charts according to data type and process capability analysis. Also this system includes the statistical analysis module to analyze defective causes immediately when inferior products are made and the module to offer regular reports. This system is customized considering the manufacture environment based on the opinions of workers.

• 응용통계연구
• /
• 제11권2호
• /
• pp.389-401
• /
• 1998

본 논문에서는 멀티미디어를 활용한 회귀분석 학습시스템 CybeRClass(Cyber Regression Class)를 소개하고자 한다. CybeRClass는 음성정보와 애니메이션 등을 활용하여 회귀분석에 대한 학습을 시켜주는 시스템이다. 이 시스템은 군집분석이나 판별분석 등의 다변량분석 학습이 가능하도록 설계되었다. 멀티미디어 기술을 위한 도구로는 Multimedia ToolBook을 사용하였으며, 통계계산과 통계그라픽을 위해서는 객체지향 통계 언어인 Xlisp-Stat을 사용하였다.