首页> 外文期刊>Journal of applied statistics >Analyzing Type Ⅱ Censored Data Obtained from Repetitious Experiments
【24h】

Analyzing Type Ⅱ Censored Data Obtained from Repetitious Experiments

机译:分析重复实验获得的Ⅱ类删失数据

获取原文
获取原文并翻译 | 示例
       

摘要

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.
机译:实验设计和Taguchi的参数设计已被业界广泛采用以优化工艺/产品。但是,在实验期间的产品寿命测试中通常会观察到检查数据。在对Ⅱ类删失数据进行重复实验后,通常通过建立一个复杂的统计模型来估计删失数据。但是,使用不完整的数据拟合模型可能无法准确地估计审查数据。而且,对于仅受过有限的统计训练的从业者,模型拟合过程是复杂的。这项研究提出了一种使用最小二乘估计法和Torres对未复制的有可能异常的阶乘因子进行分析的复杂度较低的分析数据的方法。这项研究还提出了一种有效的方法,使用最小二乘估计法分析田口参数设计中的删失数据。最后,通过实例说明了所提方法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号