• Title/Summary/Keyword: ARL

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An Analysis and Web Accessibility Assessment of Mobile Service of University Libraries (대학도서관의 모바일 서비스 사례 분석 및 웹 접근성 평가에 관한 연구)

  • Gu, Jung-Eok
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.1
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    • pp.75-101
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    • 2011
  • With the popularization of smartphones, the mobile demand for information from libraries is increasing and mobile library service will soon be quired. This study analyzed the mobile library services for the mobile webs established by 4 university libraries in Korea and 56 belonging to ARL in the United States. It examined 42 mobile applications developed by universities and university libraries in Korea, and 18 mobile applications developed by the universities and university libraries belonging to ARL in the United States. Mobile accessibility was assessed by conducting mobileOK test for the mobile websites of the same libraries. The study shows that university libraries in Korea should establish mobile websites focusing on key contents which reflect the demand for mobile information of users, and secure mobile web accessibility which the users could conveniently use.

Comparative Analysis on the Statistics of Academic Libraries of Major Universities in South Korea and North America (국내 및 북미 주요 대학의 도서관 통계 비교 분석)

  • Choi, Jae-Hwang;Lee, Jongwook
    • Journal of Korean Library and Information Science Society
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    • v.51 no.3
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    • pp.197-221
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    • 2020
  • This study aims to compare the statistical indicators of libraries of 57 Korean universities and 116 North American universities using Rinfo and ARL statistics respectively. The authors compared twelve similar statistical indicators and found that North American academic libraries were superior in 'volumes in library', 'electronic books', 'total staff', 'total library materials expenditures', 'total items borrowed', 'total items loaned', 'library presentations to groups', and 'participants in group presentations', compared to Korean academic libraries. Although Korean academic libraries showed higher numbers in 'annual gate count', 'reference transactions', 'initial circulations', and 'full-text article requests', there exist some differences in definitions and scopes of these indicators between Rinfo and ARL, needing cautious interpretation of results. The findings of the study imply the needs of expanding support for academic libraries that play pivotal roles in increasing competitiveness of teaching and research of universities. It was also found that systematic management and improvement for statistical indicators of Rinfo are necessary.

An approximation method for the ARL and the decision interval in CUSUM control charts (누적합관리도에서 평균런길이의 근사와 결정구간의 설정)

  • 이재헌;박창순
    • The Korean Journal of Applied Statistics
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    • v.10 no.2
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    • pp.385-401
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    • 1997
  • Cumulative sum (CUSUM) control charts are widely used in industry for the statistical process control. The statistical design procedure in CUSUM charts tells how to choose the decision interval value. The decision interval is primarily determied by the desired in - control ARL - that is, by the acceptable frequency of false out-of-control signals. In this paper we propose a new approximation method for calculating the ARL and determining the decision interval. The performance of the proposed method is examined by evaluating the accuracy of estimated ARLs and decision intervals in normal and exponential cases.

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An Adaptive Synthetic Control Chart for Detecting Shifts in the Process Mean (공정평균 이동을 탐지하기 위한 적응 합성 관리도)

  • Lim Taejin
    • Journal of Korean Society for Quality Management
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    • v.32 no.4
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    • pp.169-183
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    • 2004
  • The synthetic control chart (SCC) proposed by Wu and Spedding (2000) is to detect shifts in the process mean. The performance was re-evaluated by Davis and Woodall (2002), and the steady-state average run length (ARL) performance was shown to be inferior to cumulative sum (CUSUM) or exponentially weighted moving average (EWMA) chart This paper proposes a simple adaptive scheme to improve the performance of the synthetic control chart. That is, once a non-conforming (NC) sample occurs, we investigate the next L-consecutive samples with larger sample sizes and shorter sampling intervals. We employ a Markov chain model to derive the ARL and the average time to s19na1 (ATS). We also propose a statistical design procedure for determining decision variables. Comprehensive comparative study shows that the proposed control chart is uniformly superior to the original SCC or double sampling (DS) Χ chart and comparable to the EWMA chart in ATS performance.

A General Multivariate EWMA Control chart

  • Choi, SungWoon;Lee, SaangHoon
    • Management Science and Financial Engineering
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    • v.6 no.1
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    • pp.1-19
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    • 2000
  • This papeer proposes a general approach of the multivariate expontially weighted moving average(MEWMA) chart, in which the smoothing matrix has full elements instead of only diagonal elements. The average run length (ARL) properties of this scheme are examined for a diverse set of quality control environments and the information to design the chhart is provied. Performance of the scheme is measured by estmating ARL and compared to those of two group cumulative sum (CUSUM) chats. The comparison resullts show that the MEWMA chart can improve its ARL performance in detecting a small shifts out-of-control in the start-up stage, the general MEWMA chart of a full smoothing matrix appears to offer an exceptional protection aginst departures from control in the process mean.

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A Comparison of the performance of mean, median, and precedence control charts for nonnormal data

  • Kim, Jung-Hee;Lee, Sung-Im;Park, Heon-Jin;Lee, Jae-Cheol;Jang, Young-Chul
    • Proceedings of the Korean Statistical Society Conference
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    • 2005.05a
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    • pp.197-201
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    • 2005
  • In this article, we will compare the performance of the mean control chart, the median control chart, the transformed mean control chart, the transformed median control chart, and the precedence control chart by simulation study. For control charts with transformed data, Yeo-Johnson transformation is used. Under the in-control condition, ARL's in all control charts coincide with the designed ARL in the normal distribution, but in the other distributions, only the precedence control chart provides the in-control ARL as designed. Under the out-of-control condition, the mean control chart is preferred in the normal distribution and the median control chart is preferred in the heavy-tailed distribution and the precedence control chart outperforms in the short-tailed distribution.

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Bivariate EWMA Control Charts for Autocorrelated Processes

  • Cho, Gyo-Young;Ahn, Young-Sun
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.1
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    • pp.105-112
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    • 2002
  • In this paper we establish bivariate exponentially weighted moving average (EWMA) control charts for autocorrelated processes using residual vectors. We first derive the residual vectors, their expectation, variance-covariance matrix, then evaluate the control chart based on the average run length (ARL).

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Control Charts for Constant Failure Rate of System

  • Cho, Gyo-Young;Lee, Ok-Hee
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.147-156
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    • 2002
  • In this paper, we propose EWMA control charts using the life time data for the system with the constant failure rate, which were drawn from the fixed sampling interval without replacement(with replacement), and investigate the power of detection of EWMA by comparing ARL of EWMA control charts with one of Shewhart control charts.

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A Heuristic Approach for Approximating the ARL of the CUSUM Chart

  • Kim, Byung-Chun;Park, Chang-Soon;Park, Young-Hee;Lee, Jae-Heon
    • Journal of the Korean Statistical Society
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    • v.23 no.1
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    • pp.89-102
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    • 1994
  • A new method for approximating the average run length (ARL) of cumulative sum (CUSUM) chart is proposed. This method uses the conditional expectation for the test statistic before the stopping time and its asymptotic conditional density function. The values obtained by this method are compared with some other methods in normal and exponential case.

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CUSUM Chart to Monitor Dispersion Matrix for Multivariate Normal Process

  • Chang, Duk-Joon;Kwon, Yong-Man;Hong, Yeon-Woong
    • 한국데이터정보과학회:학술대회논문집
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    • 2003.05a
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    • pp.89-95
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    • 2003
  • Cumulative sum(CUSUM) control charts for monitoring dispersion matrix under multivariate normal process are proposed. Performances of the proposed CUSUM charts are measured in terms of average run length(ARL) by simulation. Numerical results show that small reference values of the proposed CUSUM chart is more efficient for small shifts in the production process.

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