• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.181-186
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• 2000

완전이면교배를 블록화하는 디자인으로 대개 부분적으로 균형된 불완비 블록계획을 사용한다. 이때 블록화하는 디자인으로 삼각형 PBIBD를 사용하기 위해는 대응되는 삼각형 PBIBD를 찾아야 한다. 특정한 모수를 갖는 균형된 불완비 블록계획의 쌍대계획이 삼각형 PBIBD가 되는 성질을 이용하면 삼각형 PBIBD를 새로 찾아야 하는 번거로움 없이 블록 완전이면교배를 설계할 수 있다. 이를 만족하는 블록 완전이면교배를 설계하는 방법과 디자인을 제시하였다.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.253-260
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• 1999

이어진 블록계획 중에서 대칭 균형된 불완비 블록계획(Symmetrical Balanced Incomplete Block Design : SBIBD)을 이용하여 n-ary를 블록 완전이면교배(Complete Diallel Cross : CDC)계획을 설계하였다. 처리 수와 반복 수가 고정된 경우, 이렇게 설계된 계획이 균형된 불완비 블록계획을 이용해서 설계한 계획들 중에서 가장 효율이 높은 계획임을 보인다.

• Journal of the Korean Data and Information Science Society
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• v.11 no.2
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• pp.247-255
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• 2000

Usually, partailly balanced incomplete block design have been used a parametric design that make blocks of complete diallel cross. For that we use triangular PBIBD as parametric design, we have to find triangular PBIBD with corresponding parameters. Using the theorem that dual design of balanced incomplete block design with special parameters becomes triangular PBIBD, we can design block complete diallel cross without finding new triangular PBIBD. In this paper, we provided the plan and design satisfying such block complete diallel crosses.

• The Korean Journal of Applied Statistics
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• v.28 no.2
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• pp.151-158
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• 2015

This paper discusses how to use projections for the analysis of data from balanced incomplete block designs. A model is suggested as a matrix form for the interblock analysis. A second set of treatment effects can be found by projections from the suggested interblock model. The variance and covariance matrix of two estimated vectors of treatment effects is derived. The uncorrelation of two estimated vectors can be verified from their covaraince structure. The fitting constants method is employed for the calculation of block sum of squares adjusted for treatment effects.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.185-195
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• 2014

Ranking-based conjoint analysis is widely used in various fields such as marketing research. While the ranking-based conjoint affords several advantages over the rating-based or choice-based conjoint, it has a serious shortcoming that respondents have much difficulty in ranking the product profiles in order of preference when many profiles are involved. This article suggests a new method for the preference measurement to improve the response efficiency. The method employs the concept of ranking sets that let the respondent evaluate a small number of profiles at a time. Through the proposed method, preference rankings of profiles obtained from each ranking set are aggregated to generate overall rankings. The balanced incomplete block design is expanded and transformed to the dual design in order to construct well-balanced ranking sets that can accommodate a large number of profiles. The proposed method is applied to the analysis of consumer preferences for perfume-for-women.