• Title/Summary/Keyword: industrial statistics

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Meta Analysis of Usability Experimental Research Using New Bi-Clustering Algorithm

  • Kim, Kyung-A;Hwang, Won-Il
    • The Korean Journal of Applied Statistics
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    • v.21 no.6
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    • pp.1007-1014
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    • 2008
  • Usability evaluation(UE) experiments are conducted to provide UE practitioners with guidelines for better outcomes. In UE research, significant quantities of empirical results have been accumulated in the past decades. While those results have been anticipated to integrate for producing generalized guidelines, traditional meta-analysis has limitations to combine UE empirical results that often show considerable heterogeneity. In this study, a new data mining method called weighted bi-clustering(WBC) was proposed to partition heterogeneous studies into homogeneous subsets. We applied the WBC to UE empirical results and identified two homogeneous subsets, each of which can be meta-analyzed. In addition, interactions between experimental conditions and UE methods were hypothesized based on the resulting partition and some interactions were confirmed via statistical tests.

An Efficient Mallows-Type One-Step GM-Estimator in linear Models

  • Song, Moon-Sup;Park, Changsoon;Nam, Ho-Soo
    • Journal of the Korean Statistical Society
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    • v.27 no.3
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    • pp.369-383
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    • 1998
  • This paper deals with a robust regression estimator. We propose an efficient one-step GM-estimator, which has a bounded influence function and a high breakdown point. The main idea of this paper is to use the Mallows-type weights which depend on both the predictor variables and the residuals from a high breakdown initial estimator. The proposed weighting scheme severely downweights the bad leverage points and slightly downweights the good leverage points. Under some regularity conditions, we compute the finite-sample breakdown point and prove the asymptotic normality. Some simulation results and a numerical example are also presented.

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A Lattice Model Based Molecular Clusters for Supercritical Fluids (초임계 유체를 위한 분자 클러스터 기반의 격자모델)

  • Shin, Moon-Sam
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.306-309
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    • 2011
  • A lattice model based molecular clusters is presented to improve a classical equation of state(EOS) for volumetric properties in the critical region. The term is based on the two assumptions: (1) The Helmholtz energy is individually divided into classical and long-range density fluctuation contribution (2) All molecules form cluster near the critical region due to long-range density fluctuation. To formulate such molecular cluster, we extended the Veytsman statistics originally developed for the cluster due to hydrogen bonding. The probability function in the statistics is modified to represent the characteristics of long-range density fluctuation vanishing far from critical region. The proposed fluctuation contribution was incorporated into the Sanchez-Lacombe EOS and the combined model with 6 adjustable parameters has been tested against experimental VLE data for pure compounds. The combined model is found to well represent flatten critical isotherm for methane and top of the coexistence curve for the tested components.

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A Lattice Model Based on Molecular Clusters for Supercritical Fluids (초임계 유체를 위한 분자 클러스터 기반의 격자모델)

  • Shin, Moon-Sam
    • Proceedings of the KAIS Fall Conference
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    • 2010.05b
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    • pp.961-964
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    • 2010
  • A semi-empirical fluctuation term is presented to improve a classical equation of state (EOS) for volumetric properties in the critical region. The term is based on the two assumptions: (1) The Helmholtz energy is individually divided into classical and long-range density fluctuation contribution (2) All molecules form cluster near the critical region due to long-range density fluctuation. To formulate such molecular cluster, we extended the Veytsman statistics originally developed for the cluster due to hydrogen bonding. The probability function in the statistics is modified to represent the characteristics of long-range density fluctuation vanishing far from critical region. The proposed fluctuation contribution was incorporated into the Sanchez-Lacombe EOS and the combined model with 6 adjustable parameters has been tested against experimental VLE data. The combined model is found to well represent flatten critical isotherm for methane and top of the coexistence curve for the tested components. The prediction results for caloric data are in good agreement with the experimental data.

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Control Chart for Constant Hazard Rate (상수형 고장률 관리도)

  • Lee, Jae-Man;Cha, Young-Joon;Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.2
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    • pp.437-444
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    • 1999
  • We propose control charts for constant hazard rate by using the number of failures based on the non-placement(replacement) life test. Also we study the sensitivity of the control chart from the operating characteristic curve.

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Evaluation method of Reviews by the Experienced Review (리뷰(review)경험고객이 평가할 수 있는 리뷰 평가방법: 인터넷사용시간, 구매빈도, 관심정도를 중심으로)

  • Sim, Wan-Seop
    • 한국산학경영학회:학술대회논문집
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    • 2006.12a
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    • pp.77-91
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    • 2006
  • With a rapid growth of the internet shopping mall consumer according to popularization of the internet, it is possible for the general public to get information covering a wide range a wide range go easily and companies attempt to apply review a new marketing means. The present paper aims to research investigated the Evaluation method of Reviews by the Experienced Review. In order to achieve the purpose of this study, carried out literature study of a related field. Through these methods, we were able to obtain participation of 166 people from student a college woman. Using 149 responses derived statistics by means of Win SPSS Version 12.0 statistics program package. The analysis results are the on-line customer review is composed of four dimensions that is expertise factor, trustworthiness factor and usefulness factor, evaluation factor.

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Prior distributions using the entropy principles (엔트로피 이론을 이용한 사전 확률 분포함수의 추정)

  • Lee, Jung-Jin;Shin, Wan-Seon
    • The Korean Journal of Applied Statistics
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    • v.3 no.2
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    • pp.91-105
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    • 1990
  • Several practical prior distributions are derived using the maximum entropy principle. Also, an interactive method for estimating a prior distribution which uses the minimum cross-entropy principle is proposed when there are many prior informations. The consistency of the prior distributions obtained by the entropy principles is discussed.

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A Generalization of the Discrete Feedback Adjustment by Rational Subgrouping

  • Park, Changsoon;Moonsup Song;Lee, Jaeheon
    • Journal of the Korean Statistical Society
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    • v.27 no.2
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    • pp.237-249
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    • 1998
  • Process adjustment has been widely used in production processes in order to set the output characteristic as close as to the target. Box and Kramer(1992) developed a feedback adjustment control procedure for process adjustment. We generalize their procedure by using a rational subgrouping of sequential observations. In this paper the feedback control rule of the rational subgrouping is proposed and the overall expected cost is evaluated. Also properties of the proposed control scheme are illustrated and compared to Box and Kramer's in the context of the expected cost.

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An Improved Group Sampling Plan Based on Time-Truncated Life Tests

  • Aslam, Muhammad;Pervaiz, Muhammad Khalid;Jun, Chi-Hyuck
    • Communications for Statistical Applications and Methods
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    • v.17 no.3
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    • pp.319-326
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    • 2010
  • In this paper, a new group sampling plan for the lot acceptance is proposed for the time truncated life test, which can be utilized when multi-item testers are implemented. The design parameters are found using the two-point approach such that the producer's and consumer's risks are satisfied simultaneously at the acceptable reliability level and the lot tolerance reliability level, respectively. The case of Weibull distribution is described to illustrate the procedure that can be used when the quality level is expressed by a multiple of the specified life. The advantage of the proposed plan is demonstrated by comparing with the existing plan in terms of the sample size required. The tables are constructed and some examples are given to illustrate the procedure developed here.

Bioequivalence trial with two generic drugs in 2 × 3 crossover design with missing data

  • Park, Sang-Gue;Kim, Seunghyo;Choi, Ikjoon
    • Communications for Statistical Applications and Methods
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    • v.27 no.6
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    • pp.641-647
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    • 2020
  • The 2 × 3 crossover design, a modified version of the 3 × 3 crossover design, is considered to compare the bioavailability of two generic candidates with a reference drug. The 2 × 3 crossover design is more economically favorable due to decrease in the number of sequences, rather than conducting a 3×3 crossover trial or two separate 2 × 2 crossover trials. However, when using a higher-order crossover trial, the risk of drop-outs and withdrawals of subjects increases, so the suitable statistical inferences for missing data is needed. The bioequivalence model of a of 2×3 crossover trial with missing data is defined and the statistical procedures of assessing bioequivalence is proposed. An illustrated example of the 2 × 3 trial with missing data is also presented with discussion.