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Solaymanian, Miremad | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42767 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Mahlooji, Hashem
  7. Abstract:
  8. In some statistical process control applications, quality of a process or product 1s characterized by a relationship between a response variable and one or more explanatory variables which is referred to as profile by researchers. In some applications such as calibration, this relationship is characterized by a simple linear regression. However, in some situations, more complicated models are needed. It seems that there is a little attention to monitoring of profiles with binary response variables. Furthermore, the extensive applications of binary response variables in real industrial worlds make it necessary to concentrate on this kind of profiles. In this dissertation, some methods for monitoring profiles with binary response variables in phases II are proposed. the major purpose of phase II is to detect shifts as soon as possible. In this research, three methods in the literature of profile monitoring are extended for monitoring binary response profiles in phase II. Then, two new methods are proposed in this phase and its performance in comparison with the extended methods is evaluated. The performance of the proposed methods is evaluated using simulation studies and average run length criterion
  9. Keywords:
  10. Likelihood Ratio ; Profile Monitoring ; Logistic Transformation ; Binary Regression Analysis

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