• Communications for Statistical Applications and Methods
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• v.3 no.1
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• pp.207-217
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• 1996

The problem of detecting change with independent data is considered. The asymptotic distribution of the sample change process with the sample Fourier coefficients is shown as a Brownian Bridge process. We suggest to use dynamic statistics such as a sample Brownian Bridge and graphs as statistical animation. Graphs including change PP plots are given by way of illustration with the simulated data.

• Communications for Statistical Applications and Methods
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• v.7 no.1
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• pp.269-276
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• 2000

there are several methods available for estimating parameters in overdispersed binary response data with the litter effect. Simulations are performed to compare methods for estimating an overall mean and an overdispersion parameter using moments a maximum likelihood under a beta-binomial distribution a maximum quasi-likelihood and a maximum extended quasi-likelihood.

• Journal of the Korean Statistical Society
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• v.5 no.1
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• pp.29-34
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• 1976

The techniques about the analysis of variance for quantitative variables have been well-developed. But when the variable is categorical, we must switch to a completely different set of varied techniques. R.J. Light and B.H. Margolin presented one kind of techniques for categorical data in their paper, where there are G unordered experimental groups and I unordered response categories.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.677-686
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• 1999

In this paper we introduce a class of moving-average(MA) sequences of multivariate random vectors with geometric marginals. The theory of positive dependence is used to show that in various cases the class of MA sequences consists of associated random variables. We utilize positive dependence properties to obtain weakly probability inequality of the multivariate processes.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.791-800
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• 1999

Gross and Lai(1996) proposed a new approach for ordinary regression with left-truncated and right-censored (I.t.r.c) data. This paper shows how to apply nonparametric algorithms such as multivariate adaptive regression splines to 1.t.r.c data.

• Communications for Statistical Applications and Methods
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• v.3 no.2
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• pp.197-204
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• 1996

We consider a two sample rank test for a bivariate mixture distribution based on Johnson's quantile score. The test statistic is simple to calculate and the exact distribution under the null hypothesis is obtained. A numerical example is given.

• Communications for Statistical Applications and Methods
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• v.12 no.3
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• pp.589-601
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• 2005

Student evaluation of university teaching is a common tool for measuring the educational contribution of a professor and improving the quality of classes. There, however, exist external factors in the beyond of control of a instructor, which affect the result of Student's rating to prevent practical use of evaluation for administrative purpose. This paper investigates the factors that spoil the validity and the reliability of student evaluation and proposes a method to control the effect by the statistical analysis of evaluation data of Jeonju University for two years.

• Journal of Practical Engineering Education
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• v.6 no.1
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• pp.51-55
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• 2014

A case study on engineering clinic operation based on industry needs is introduced. Engineering clinic is a course that students and professor solve bottleneck techniques provided from an industry. The industry presents the bottleneck techniques to the professor and the professor plans a course that the students learn how to solve them, and the students train field adaptability by solving them. From the course evaluation of the engineering clinic, the students give high scores to the awareness of the course objectives, the performance period, the smooth communication, the application and understanding of major, the problem solving skill, the cooperation ability, the opportunity of carrier choice, and the course recommendation. Two semesters give higher satisfaction to the students than one semester because two semesters are long enough to solve the bottleneck techniques provided from the industry. It gives good opportunity that the students get a job through completing the course.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.517-527
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• 2014

Universities are increasing every year, supporting the university's teaching and learning center, among subjects which recently retake a good teaching or the most memorable teaching through an essay competitions. This contributed to the development of students' academic skills taught a good teaching know-how to identify and spread the 'good teaching' what has provided opportunity to look back. This study analyzed the characteristics of good teaching, as perceived by Junior College students. We did content analysis to elicit the characteristics of professor from qualitative comments of 75 college essay competitions. According to the content analysis, the most essential characteristics of good teaching as perceived by Junior College students are the following: 1. the professor's enthusiasm for teaching; 2. students' interest for teaching; 3. providing clear explanation; 4. caring professors; 5. good communication with students; 6. sharing professor's experiences.

• Journal of Families and Better Life
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• v.26 no.4
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• pp.149-162
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• 2008

The purpose of this study is to provide a meaningful thought to professionals and administrators of Korea working for Consumer General Education development at their Universities. Also, tips for organizing and meaning Consumer General Education Curriculum effectively are provided. Finally, the study suggests essential elements to improve qualities of Consumer General Education in Korea Universities. This study's method are content analysis through web site and survey. The subjects of this survey were 257 students. The data were collected by qusetionaires developed by researcher and analyzed by frequencies, correlation Analysis, One Way Anova, Duncan Test, Factor Analysis, Multiple Regression Analysis. The major findings were as follows: University students's satisfaction level about General Education was low and the needs level about Consumer General Education was high. And the education service quality showed factors to be administrative service element, professor service element, classroom environment element, communication element. And Multiple Regression Analysis on each of the education service quality factors had been significant effects for find out the differences in the degree of satisfaction.