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Analyzing type II censored data obtained from repetitious experiments

Author

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  • Lee-Ing Tong
  • Chien-Hui Yang

Abstract

Experimental design and Taguchi's parameter design are widely employed by industry to optimize the process/product. However, censored data are often observed in product lifetime testing during the experiments. After implementing a repetitious experiment with type II censored data, the censored data are usually estimated by establishing a complex statistical model. However, using the incomplete data to fit a model may not accurately estimates the censored data. Moreover, the model fitting process is complicated for a practitioner who has only limited statistical training. This study proposes a less complex approach to analyze censored data, using the least square estimation method and Torres's analysis of unreplicated factorials with possible abnormalities. This study also presents an effective method to analyze the censored data from Taguchi's parameter design using least square estimation method. Finally, examples are given to illustrate the effectiveness of the proposed methods.

Suggested Citation

  • Lee-Ing Tong & Chien-Hui Yang, 2006. "Analyzing type II censored data obtained from repetitious experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(1), pages 49-63.
  • Handle: RePEc:taf:japsta:v:33:y:2006:i:1:p:49-63
    DOI: 10.1080/02664760500389673
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