• Title/Summary/Keyword: Designs

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Sufficient Conditions for Compatibility of Unequal-replicate Component Designs

  • Park, Dong-Kwon
    • Journal of the Korean Statistical Society
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    • v.23 no.2
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    • pp.513-522
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    • 1994
  • A multi-dimensional design is most easily constructed via the amalgamation of one-dimensional component block designs. However, not all sets of component designs are compatible to be amalgamated. The conditions for compatibility are related to the concept of a complete matching in a graph. In this paper, we give sufficient conditions for unequal-replicate designs. Two types of conditions are proposed; one is based on the number of verices adjacent to at least one vertex and the other is ona a degree of vertex, in a bipartite graph. The former is an extension of the sufficient conditions of equal-replicate designs given by Dean an Lewis (1988).

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On the Geometric Equivalence of Asymmetric Factorial Designs

  • Park, Dong-Kwon;Park, Eun-Hye
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.777-786
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    • 2006
  • Two factorial designs with quantitative factors are called geometrically equivalent if the design matrix of one can be transformed into the design matrix of the other by row and column permutations, and reversal of symbol order in one or more columns. Clark and Dean (2001) gave a sufficient and necessary condition (which we call the 'gCD condition') for two symmetric factorial designs with quantitative factors to be geometrically equivalent. This condition is based on the absolute value of the Euclidean(or Hamming) distance between pairs of design points. In this paper we extend the gCD condition to asymmetric designs. In addition, a modified algorithm is applied for checking the equivalence of two designs.

A Study on the Design of Madeleine Vionnet (마들렌 비오네의 디자인 연구(硏究))

  • Choi, Jin-Young;Cho, Kyu-Hwa
    • Journal of Fashion Business
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    • v.11 no.1
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    • pp.26-37
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    • 2007
  • Madeleine Vionnet(1876$\sim$1975, France),the most prominent figure of the 20th century draping, started her apprentice in France in 1888 and expressed feminity of adult products through her various works until she closed the house in 1940. The feminine designs of the adult style appeared in 1930s, whose characteristics were silhouette and details that emphasize the body, and bias designs. Not only Vionnet, but also Chanel and Schiaparelli were the representative female designers at that time. The preliminary researches of Vionnet designs were mostly focused on her cutting methods. This paper purports to examine Vionnet's bias cutting method, to compare Vionnet with female designers of Chanel and Schiaparelli who led the mode of 1930s with feminine designs for the adult products in that period, and then to attempt creative designs by use of bias cutting.

Design of Fractional Factorial Experiments with Four-Level Quantitative and Two-Level Factors (4-수준 계량인자가 포함된 2-수준 일부실시 실험계획)

  • Choi, Kiew-Phil;Byun, Jai-Hyun
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.4
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    • pp.352-365
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    • 2001
  • Two-level factorial designs are popular in industry due to their simplicity, efficiency, graphical interpretation, and flexibility in sequential experimentation. However, experimenters are often frustrated when they have factors with more than two levels. There have been some works on design of experiments with two- and four-level factors, which mostly deal with qualitative four-level factors. This paper discusses differences between qualitative and quantitative four-level factors. Optimal designs are provided for some designs with four-level quantitative and two-level factors.

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Implementation of Small Sized Designs for Economic Estimation of Second-Order Models (2차 모형의 경제적 추정을 위한 소형실험계획의 활용)

  • Kim, Jeong-Suk;Byeon, Jae-Hyeon
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.531-534
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    • 2006
  • Response surface methodology (RSM) is a useful collection of experimentation techniques for developing, improving, and optimizing products and processes. When we are to estimate second-order regression model and optimize quality characteristic by RSM, central composite designs and Box-Behnken designs are widely in use. However, in developing cutting-edge products, it is very crucial to reduce the time of experimentation as much as possible. In this paper small-sized second-order designs are introduced and their estimation abilities are compared in terms of D-optimality, A-optimality, and variance of regression coefficients, ease of experimentation, number of experiments. Then we present a guideline of using specific designs for specific experimentation circumstances. The result of this study will be beneficial to experimenters who face experiments which are expensive, difficult, or time-consuming.

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라틴-하이퍼큐브 실험게획 간의 거리 계산과 비교

  • 박정수;황현식
    • The Korean Journal of Applied Statistics
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    • v.13 no.2
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    • pp.477-488
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    • 2000
  • A distance measure between two Latin-hypercube designs is defined and its expected value is computed. It was computed by using mathematical statistics, numerical analysis (multidimensional numerical integration), Monte-carlo method, and the theory of asymptotic normal distribution. For the comparison of two Latin-hypercube designs with same structure but different randomness, the difference of expected values of response function and information mass of experimental designs are considered. These methods may be useful in comparison between two general experimental designs.

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Instroduction of Automatic Container Terminal designed by Japan (일본의 자동화 터미널 시설계 소개)

  • 정영석;진규호
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 1998.10a
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    • pp.19-49
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    • 1998
  • I try to introduce three types of designs for automatic container operating system which are designed by Institute of Japan Port Research in 1996. Each types are designedto fit with the situations of Japan Port. 'A'type of these designs adapts Dual Container Crane, AGV, RMG, etc. 'B'type of these designs adapts Dual Container Crane, AGV, OHBC, RTG. And 'C'type of these designs adapts Single Container Crane, AGV, OHBC, etc. Even if three designs are introduced, they have some problems to solve for the future. They are Lashing work, Refeer container problem, check for container and seal in main gate, Establishing EDI NETWORK, etc. I expect that this paper will be a helps to development of our port industry.

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A New Approach for Selecting Fractional Factorial Designs

  • Park, Dong-Kwon;Kim, Hyoung-Soon
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.707-714
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    • 2003
  • Because of complex aliasing, nonregular designs have traditionally been used for screening only main effects. However, complex aliasing actually may allow some interactions entertained and estimated without making additional runs. According to hierarchical principle, the minimum aberration has been used as an important criterion for selecting regular fractional factorial designs. The criterion is not applicable to nonregular designs. In this paper, we give a criterion for choosing fractional factorial designs based on the fan theory. The criterion is focused on the partial ordering given by set inclusion on estimable sets which is called leaves.

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Designs for Improving Mean Response

  • Park, Joong-Yang;Suh, Euy-Hoon;Ahn, Sung-Jin
    • Journal of Korean Society for Quality Management
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    • v.23 no.3
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    • pp.102-112
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    • 1995
  • Estimation of each of mean response, difference between mean responses and derivatives of the response function is a possible objective of a response surface design. These objectives are to be achieved simultaneously when an experiment is designed to improve mean response. For the situations where departure from the assumed model is suspected, first and second order designs for improving mean response are obtained by combining minimum bias designs for the individual design objectives. D- and A-optimalities are used for selecting specific second order designs. The results are applied to central composite designs.

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Empirical Statistical Power for Testing Multilocus Genotypic Effects under Unbalanced Designs Using a Gibbs Sampler

  • Lee, Chae-Young
    • Asian-Australasian Journal of Animal Sciences
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    • v.25 no.11
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    • pp.1511-1514
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    • 2012
  • Epistasis that may explain a large portion of the phenotypic variation for complex economic traits of animals has been ignored in many genetic association studies. A Baysian method was introduced to draw inferences about multilocus genotypic effects based on their marginal posterior distributions by a Gibbs sampler. A simulation study was conducted to provide statistical powers under various unbalanced designs by using this method. Data were simulated by combined designs of number of loci, within genotype variance, and sample size in unbalanced designs with or without null combined genotype cells. Mean empirical statistical power was estimated for testing posterior mean estimate of combined genotype effect. A practical example for obtaining empirical statistical power estimates with a given sample size was provided under unbalanced designs. The empirical statistical powers would be useful for determining an optimal design when interactive associations of multiple loci with complex phenotypes were examined.