• Title/Summary/Keyword: 2$\times$2 factorial design

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Rank transform F statistic in a 2$\times$2 factorial design

  • Park, Young-Hun
    • Journal of the Korean Statistical Society
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    • v.23 no.1
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    • pp.103-114
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    • 1994
  • For a $2 \times 2$ factorial design without the restriction of a linear model or without regard to error terms having homoscedasticity, under the null hypothesis of no interaction we can have the rank transformed F statistic for interaction converge in distribution to a chi-squared random variable with one degree of random if and only if there is only main effect.

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Power analysis for $2{\times}2$ factorial in randomized complete block design (블럭이 존재하는 $2{\times}2$ 요인모형의 검정력 분석)

  • Choi, Young-Hun
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.2
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    • pp.245-253
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    • 2011
  • Powers of rank transformed statistic for testing main effects and interaction effects for $2{\times}2$ factorial design in randomized complete block design are very superior to powers of parametric statistic without regard to the block size, composition method of effects and the type of population distributions such as exponential, double exponential, normal and uniform. $2{\times}2$ factorial design in RCBD increases error effects and decreases powers of parametric statistic which results in conservativeness. However powers of rank transformed statistic maintain relative preference. In general powers of rank transformed statistic show relative preference over those of parametric statistic with small block size and big effect size.

Power study for 2 × 2 factorial design in 4 × 4 latin square design (4 × 4 라틴방격모형 내 2 × 2 요인모형의 검정력 연구)

  • Choi, Young Hun
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1195-1205
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    • 2014
  • Compared with single design, powers of rank transformed statistic for testing main and interaction effects for $2{\times}2$ factorial in $4{\times}4$ latin square design are rapidly increased as effect size and replication size are increased. In general powers of rank transformed statistic are superior without regard to the diversified effect composition and the type of error distributions as nontesting factors are few and effect size are small. Powers of rank transformed statistic show much higher level than those of parametric statistic in exponential and double exponential distributions. Further powers of rank transformed statistic are very similar with those of parametric statistic in normal and uniform distributions.

Optimization for the Antibacterial Activity of Konjak Jelly using Evolutionary Operation-Factorial Design Technique (Evolutionary Operation-Factorial Design Technique를 이용한 곤약의 항균활성 최적화)

  • Lee, Nan-Hee;Choi, Won-Seok;Choi, Ung-Kyu
    • The Korean Journal of Food And Nutrition
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    • v.31 no.2
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    • pp.272-277
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    • 2018
  • This research was conducted to elucidate the optimum conditions for the antibacterial activity of konjak jelly using the evolutionary operation-factorial design technique. In the first set of experiments, concentration of a coagulation agent, soaking liquid, and temperature of water were set to 0.4%, $0.6{\times}10^{-2}N$, and $65^{\circ}C$ as a central point, respectively. The highest antibacterial activity was acquired at E21, in which the number of bacteria was 1.25 log cfu/g. Because the code of changes in the main effect was (-), it could be decided that the central point of the first set was not the optimum point. Although antibacterial activity in the second set was improved, the values of the main effect were higher than that of changes in the mean effect. The central point of third set was concentration of coagulation agent 0.8%, concentration of soaking liquid $1.0{\times}10^{-2}N$, and temperature of water $65^{\circ}C$. It was found that the antibacterial activity of central point in the third set was highest among all the tested set. Further, all the necessary conditions were appropriate to reach the optimum condition. The antibacterial activity of the central point in third set was more than 1,000 times higher than that of E11, in first set.

Optimization for the Bacterial Cellulose Production of Acetobacter xylinum KJ1 by Factorial Design (Factorial design에 의한 Acetobacter xylinum KJ1의 Bacterial cellulose 생산조건의 최적화)

  • 김성준;이지은;정상기;이용운
    • KSBB Journal
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    • v.17 no.3
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    • pp.228-234
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    • 2002
  • Acetobacter xylinum KJ1 efficiently producing bacterial cellulose(BC) In shaking culture was isolated from a rotten grape. The strain was used to investigate optimum operating conditions for increasing BC production and factorial design model was employed for the optimization. The results of experiments were statistically analyzed by SAS program. Reciprocal effects of each factors(carbon source concentration, shaking speeds(rpm), oxygen pressure, and CSL concentration) and culture condition of BC production were examined by getting regression equation of the dependent variable. Comparisons between experimental results and predicted results about BC concentration were done in total 24 experiments by combination of each factors using SAS program, and the correlation coefficients of BC concentration and BC yield were 0.91 and 0.81, respectively. The agitated cultures were peformed in various operation conditions of factors which affected considerably to BC production in jar fermentor. The results showed that BC concentration was 11.67 g/L in 80 hours cultivation under the condition of carbon source concentration : shaking speeds(rpm) : oxygen pressure : CSL concentration : 4% : 460 rpm : 0.28 : 6%. On the other hand BC yield was 0.42 g/g in 80 hours cultivation under the condition of carbon source concentration : shaking speeds(rpm) : oxygen pressure : CSL concentration : 4% : 564 rpm : 0.21 : 2%. The BC production could be enhanced up to more than 2.4 times by factorial design. The result of a verifying experiment under the optimal conditions determined by the factorial design to the BC production showed that the model was appropriate by obtaining BC concentration of 11.47 g/L in the optimum condition.

Are Negative Online Consumer Reviews Always Bad? A Two-Sided Message Perspective

  • Lee, Jumin;Park, Se-Bum;Lee, Sangwon
    • Asia pacific journal of information systems
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    • v.25 no.4
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    • pp.784-804
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    • 2015
  • This study investigates the effects of a two-sided message on product attitude and purchase intention by using a message structure variable, such as attribute importance in the context of online consumer reviews (OCRs). Study 1 explains the previous inconsistent results of a two-side message by comparing a one-side message and a two-side message by using the attribute importance in negative reviews. Study 2 determines the reasons for the inconsistent results of a refutational two-sided message research by using the attribute importance in negative reviews and website trust. Two experiments are designed to test our hypotheses. The first experiment is a $2{\times}2$ factorial design with 84 participants. The second experiment uses a $2{\times}2{\times}2$ factorial design with 196 participants. In study 1, two-sided OCRs are more credible than one-sided OCRs, and two-sided OCRs that use low important attributes are more effective in making favorable product attitude/purchase intention. In study 2, refutational two-sided OCRs that use high attribute importance render positive effects on product attitudes in trustworthy websites. However, the refutation could negatively affect product attitude/purchase intention in low trustworthy websites.

Visual Evaluation and Preference in Men's Clothing Color according to Variation in Value and Chroma (남성 의복색의 명도 및 채도 변화에 따른 시각적 이미지 평가와 선호도 연구)

  • Lee, Myoung-Hee
    • Journal of the Korean Society of Costume
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    • v.61 no.3
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    • pp.51-62
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    • 2011
  • The purpose of this study was to examine the visual evaluation of image according to the style, hue, value, and chroma of the male clothing and the preference of image. A quasi-experimental method was used for this study. The first factorial design was the $2{\times}3{\times}2{\times}2$ (style of upper clothes ${\times}$ hue ${\times}$ chroma ${\times}$ color of trousers), and the second factorial design was the $2{\times}3{\times}2$ (style of upper clothes ${\times}$ value ${\times}$ color of trousers). The styles of upper clothes were a soutien collar casual jacket and a polo shirt. The subjects were 509 female college students living in Seoul. Factor analysis showed five image categories of men's clothing: initiative, dignity, politeness, activity, and mildness. Yellow was evaluated as having the highest initiative and activity. Blue was shown to have lower mildness than red and yellow. The high saturated chroma was perceived to be higher initiative and activity than low chroma. The shirts were evaluated higher in activity and mildness than the casual jackets were. The beige pants were perceived to be higher in dignity and mildness than the dark blue pants. The high chroma jackets were perceived to be higher in both initiative and activity than the low chroma jackets. The navy blue pants with the upper clothes in low chroma blue were perceived to be higher in politeness than with the upper clothes in low chroma red or yellow. The low value clothes were perceived to be higher in both initiative and dignity.

Alias Component Permutation Matrices (ACPM) for the $3^n$ Parallel Fractional Factorial Design

  • Um, Jung-Koog
    • Journal of the Korean Statistical Society
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    • v.9 no.1
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    • pp.1-12
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    • 1980
  • A parallel flats faraction for the $3^n$ factorial experiment is symbolically written as $At = C(r\timesf)$ where $A(r\timesn)$ is of rank r. The A-matrix partitions the nonnegligible effects into $(3^{n-r}-1)/2+1$ alias sets. The $U_i$ effects in the i-th alias set are related pairwise by elements from $S_3$, the symmetric group on three symbols. For each alias set the f flats produce an $f \times u_i$ alias componet permutation matrices (ACPM) with elements from $S_3$. All the information concerning the relationships among levels of the effects is contained in the ACPM.

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Conjoint analysis with mixed levels of attributes (혼합된 수준들의 속성들을 갖는 컨조인트 분석)

  • Lim, Yong B.;Chung, Jong Hee
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.799-811
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    • 2016
  • Purpose: The conjoint analyst in marketing are interested in detecting whether there exist synergy or antagonistic effects between two attributes. In the cases where attributes have two or three levels, we research on the design of survey questionnaire to estimate all the main effect and as many two factor interaction effects as possible. Methods: We consider the balanced incomplete block (BIB) mixed level factorial design $2^f{\times}3^g$ or fractional factorial design. To reduce the number of questions in a questionnaire, we propose the balanced incomplete block mixed level design with minimum aberration which is generated by implementing proc factex in SAS. Also, we propose using two or three level BIB factorial design instead of mixed level designs by transforming three level attributes into two attributes of two levels and two level attribute into three level attribute by using dummy level technique. Results: We propose three methods for designing survey questionnaire where the block and design generators are found with practical number of questions in a questionnaire. By analyzing all the respondents survey data generated by the simulation study, we find the proper model and do the concepts optimization. Conclusion: The proposed methods of designing survey questionnaires seem to perform well in the sense that the proper model, and then the optimal concept is found in a case study where all the respondents survey data are generated by the simulation study.

The Effects of Joining Factors on Strength of Al 6061 Alloy in FSW (Al 6061 합금의 마찰교반용접 시 접합변수가 강도에 미치는 영향)

  • Kang, Dae-Min;Lee, Dai-Yeal;Park, Kyoung-Do
    • Journal of Power System Engineering
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    • v.21 no.5
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    • pp.86-91
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    • 2017
  • Friction Stir Welding (FSW) is useful technique to join aluminum alloy with energy efficient and environment friendly. In this paper, the design of experiment with three-way factorial design was adopted for optimum conditions of welding variables in the FSW of Al 6061 alloy. Tools of shoulder diameter of 9, 12, 15 mm and pin length of 1.5 mm were used. Also the material's dimension for welding were $2{\times}100{\times}150mm$, and the tensile specimens were worked by water-jet technique. Welding variables were shoulder diameter, rotating speed and travel speed of tool. From the results of this work, the welding factor influenced on yield strength most was travel speed and the optimum condition for FSW was predicted as the shoulder diameter of 15 mm, welding speed of 500 mm/min and rotating speed of 2,000 rpm. Also the presumption range of yield strength at optimal condition of reliability 99% was estimated to $207.19{\pm}9.91MPa$.