보증 데이터를 통해 제품의 수명 및 형상모수를 추정할 때 최우추정법과 같은 전통적인 통계 분석방법(Classical Statistical Method)을 많이 사용하였다. 그러나 전통적인 통계 분석방법을 통해 수명과 형상모수의 추정 시 표본의 크기가 작거나 불완전한 경우 추정량의 신뢰성이 떨어진다는 단점이 있고 또 누적된 경험과 과거자료를 충분히 이용하지 못하는 단점도 있다. 이러한 문제점을 해결하기 위해 모수의 사전분포를 가정하는 베이지안(Bayesian) 기법의 적용이 필요하다. 하지만 보증 데이터분석에 있어서 베이지안 기법을 이용한 연구는 아직 미흡한 실정이다. 본 연구에서는 수명분포가 와이블 분포를 갖는 보증데이터를 활용하여 모수 추정의 효율성을 비교 분석하고자 한다. 이를 위해 와이블 분포의 모수가 대수정규분포를 따르는 사전분포를 갖는 베이지안 기법과 전통적 통계기법인 생명표법(Actuarial method)을 활용하여 추정량을 도출하고 비교 분석하였다. 이를 통해 충분한 관측 데이터를 확보할 수 없는 경우에 베이지안 기법을 이용한 보증 데이터 분석방법의 성능을 확인하고자 한다.

The present study proposes two normality tests using nonparametric rank measures for small sample such as modified normal probability paper(NPP) tests and modified Ryan-Joiner Test. This research also reviews various normality tests such as 2 test, and Kullback-Leibler test. The proposed normality tests can be efficiently applied to the sparsity tests of factor effect or contrast using saturated design in kn factorial and fractional factorial design.

This paper presents three methods for expression of reliability measures for large and small data. First method is to express parametric estimation of cardinal reliability measure data for large sample, which requires numerous sample. Second is to obtain nonparametric distribution classification of ordinal reliability measure data for small sample. However it is difficult for field user to understand this method. Last method is to acquire parametric estimation of ordinal reliability measure data for small data. Because this method requires small sample and is comprehensive, we recommend this one among the proposed methods. Various reliability rank measures are presented.

Korean economic growth in exports has been phenomenal in the past two decades. This paper deals with a series of export studies of small- and medium-sized manufacturing firms in Korea which look at export behavior and the conditions which influence export sales in these firms. Profiles of the firms are provided, in addition to discussions of the key influences on initiating exports, channels selection, profitability, and attitudes toward exporting.

Rice breeders or sensory evaluators are striving to develop the rapid and correct sensory evaluation method of the cooked rice with a small-sample. This study was conducted to develop a method of cooking condition and sensory evaluation of the cooked rice rapidly and correctly with a small-sample by introducing a concept of arrangement ranking to the conventional sensory evaluation method by cooking in the cup, which has been used only as a simple test. A method of simultaneous cooking of the five samples for one round of test was developed. And, an arrangement ranking method was developed just like stacking a tower by arranging the cups in the sensory evaluation. The proposed method was named as cup arrangement ranking method. The correlation analysis between the cup arrangement ranking method (CARM) and the standard sensory evaluation method (SSEM) showed a high significance of correlation (r=0.83**∼0.91**, ‘13∼’14). Further, when effectiveness of proposed method was compared with the standard sensory evaluation method, the sample quantity was a 30g level for one round of test, which is a tenth of SSEM. The time consumed for sensory evaluation was two minutes per one sample, which was a reduced value by half as compared with the time consumption by SSEM. Therefore, the cup arrangement ranking is expected to be an effective method in the selection of excellent rice line or variety having good taste by evaluating the cooking quality rapidly with a small-sample in early generation.