• DocumentCode
    2520495
  • Title

    Evaluation for repeatability and reproducibility of information poor process

  • Author

    Xia, Xintao ; Zhou, Qing ; Zhu, Jianmin

  • Author_Institution
    Mechatronical Eng. Coll., Henan Univ. of Sci. & Technol., Luoyang, China
  • fYear
    2010
  • fDate
    9-11 April 2010
  • Firstpage
    528
  • Lastpage
    531
  • Abstract
    Poor information means incomplete and insufficient information, such as small sample and unknown distribution. As for the evaluation of repeatability and reproducibility in an information poor process, statistical methods which relied on large sample sizes and known distributions may become ineffective. For this end, a method for analysis of the point variation, the interval variation, and the comprehensive variation is proposed to appraise the repeatability and reproducibility. The method indicates that the smaller the variation between the measured data, the better the repeatability and reproducibility. Case studies show that the proposed method allows the number of the data to be very little and the probability distribution to be unknown.
  • Keywords
    data analysis; signal processing; statistical analysis; comprehensive variation analysis; information poor process; interval variation analysis; measured data; point variation analysis; probability distribution; repeatability evaluation; reproducibility evaluation; Appraisal; Educational institutions; Information analysis; Instruments; Probability distribution; Reproducibility of results; Signal processing; Stability; Statistical analysis; Time measurement; Evaluation; Information poor process; Repeatability; Reproducibility; Signal processing; Small sample; Variation analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing (IASP), 2010 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-5554-6
  • Electronic_ISBN
    978-1-4244-5556-0
  • Type

    conf

  • DOI
    10.1109/IASP.2010.5476060
  • Filename
    5476060