• Title/Summary/Keyword: Minitab

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A Comparison of Multivariate R-Techniques in SAS, SPSS, Minitab and S-plus (SAS, SPSS, MINITAB, 5-PLUS에서 다변량 R-기법의 비교)

  • 최용석;문희정
    • The Korean Journal of Applied Statistics
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    • v.17 no.1
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    • pp.153-164
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    • 2004
  • In this study, we compare multivariate R-techniques in the up-to-date versions of SAS, SPSS, Minitab and S-plus. The direct input method by typing in command is considered for SAS, while the menu-driven method is considered for SPSS, Minitab and S-plus. Comparison was made in terms of input data format, input option, charts and outputs.

Comparative Study on Statistical Packages for using Multivariate Q-technique

  • Choi, Yong-Seok;Moon, Hee-jung
    • Communications for Statistical Applications and Methods
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    • v.10 no.2
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    • pp.433-443
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    • 2003
  • In this study, we provide a comparison of multivariate Q-techniques in the up-to-date versions of SAS, SPSS, Minitab and S-plus well known to those who study statistics. We can analyze data through the direct Input method(command) in SAS and use of menu method in SPSS, Minitab and S-plus. The analysis performance method is chosen by the high frequency of use. Widely we compare with each Q-techniques form according to input data, input option, statistical chart and statistical output.

MINITAB Macros for Testing the Difference of Mean Vectors of Two Multivariate Populations

  • Hyuk Joo;Min Ah
    • Communications for Statistical Applications and Methods
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    • v.7 no.1
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    • pp.179-198
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    • 2000
  • We consider the problem of comparing the mean vectors of two multivaiate populations, We focus on testing hypotheses concerning two multivariate mean vectors by use of MINITAB, For the cases of small sample and large sample MINITAB programs and outputs are presented for solving staistical problems. The MiniTAB programs made in this paper are saved as macro files and thus can be conveniently used for solving another problems.

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Implementation and Features for Design of Experiment (품질실험계획 모형의 특징 및 적용방안)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.519-524
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    • 2010
  • The research presents implementation strategy and features for experimental design of quality. The MINITAB models of experimental design classfies by the kinds of factors, orthogonality, blocking, confounding and rotationability. The results discussed in this paper can be easily used for practictioners.

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A Comparative analysis of three Signal-to-Noise ratios of dynamic characteristics parameter design (동특성 파라미터 설계의 3종류 SN비 비교 분석)

  • 이상복
    • Journal of Korean Society for Quality Management
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    • v.29 no.4
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    • pp.82-91
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    • 2001
  • Taguchi robust design is widely used to quality improve methods. Especially, interest of dynamic characteristics parameter design is getting grow. In this paper, we have a comparative analyzed three Signal-to-Noise Ratios which are used in American Supplier Institute(ASI), MINITAB and Taguchi series published by Japanese Standard Institute with numerical examples.

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Implementation of Integrated Control Chart Using Zone, Multivariate $T^2$ and ARIMA (Zone, 다변량 $T^2$, ARIMA를 이용한 통합관리도의 적용방안)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.259-265
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    • 2010
  • The research discusses the implementation of control charts tools of MINITAB which are classified according to the type of data and the existence of subgrouping, weight and multivariate covariance. The paper presents the three integrated models by the use of zone, multivariate $T^2$-GV(Generalized Variance) and ARIMA(Autoregressive Integrated Moving Average).

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An Evaluation of Induced Voltage according to the Grounding Resistance of a 22.9 kV-Y Distribution Line Simulated for its Field Application for Lightning Prevention (낙뢰 예방 배전선로의 현장 적용을 위해 모의된 22.9 kV-Y의 접지저항에 따른 유도전압의 평가)

  • Kim, Jeom-Sik;Choi, Chung-Seog
    • Journal of the Korean Society of Safety
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    • v.30 no.5
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    • pp.14-19
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    • 2015
  • This study performed simulation tests to prevent induced lightning that occurs to a 22.9 kV-Y distribution line. A simulated distribution line reduced to 1/50 of an actual distribution line was installed to measure the induced voltage according to the change in grounding resistance. It was found that the induced voltage increased as the grounding resistance increased but that the range of its increase was small. This study examined the reliability of the proposed lightning preventive distribution line using the Minitab program (Minitab 17). When a grounding resistance of $300{\Omega}$ was maintained for each electric pole, the Anderson Darling (AD) was 0.410, the smallest, and the P value was analyzed to be 0.323, verifying that the reliability and stability were excellent. Therefore, these results will be utilized as a basis for the substantiation of a lightning preventive distribution line before its installation.

Optimization of Distribution Basin Weirs at a Sewage Treatment Plant Based on Computational Fluid Analysis Using the Taguchi and Minitab Method (전산유체해석과 다구찌 및 미니탭 방법을 활용한 하수처리장 분배조 웨어 최적화)

  • Jung, Yong-Jun;Park, Hae-Sik;Cho, Young-Man
    • Journal of Environmental Science International
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    • v.30 no.12
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    • pp.983-991
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    • 2021
  • The role of the distribution basin role is to apportion incoming raw water to the primary sedimentation basin as part of the water treatment process. The purpose of this study was to calculate the amount of water in the distribution basin using computational fluid dynamics (CFD) analysis and to find a way to improve any non-uniformity. We used the Taguchi method and the minitab tool as optimization methods. The results of the CFD calculation showed that the distribution flow had a deviation of 5% at the minimum inflow, 10% at the average inflow, and 22% at the maximum inflow. At maximum flow, the appropriate heights of the 7 weirs(C, D, A, B, E, F, G) were 40 mm, 20 mm, 20 mm, 0, 0, 0, and 20 mm, respectively, according to the Taguchi optimization tool. Here, the maximum deviation of the distribution amount was 9% and the standard deviation was 23.7. The appropriate heights of the 7 weirs, according to the Minitab tool, were 40 mm, 20 mm, 20 mm, 0, 0, 0, and 20 mm, respectively, for weirs C, D, A, B, E, F, and G. Therefore, the maximum deviation of the distribution amount was 8% and the standard deviation was 17.1, which was slightly improved compared to the Taguchi method.