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
Link To Document :
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