Journal article
The Design of Truncated Sequential Test Plans Based on Attributes Data
Communications in statistics. Simulation and computation, v 33(3), pp 843-859
02 Jan 2004
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study investigates the effect of the choice of a truncation strategy on sequential test plan performance for test plans based on attributes data. We present numerical results that demonstrate the effect of varying the truncation sample size m and reject value R for plans having essentially equivalent Type I and Type II error probabilities. The results show that the choice of m and R should not be taken lightly, as both parameters have a significant effect on test performance.
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Details
- Title
- The Design of Truncated Sequential Test Plans Based on Attributes Data
- Creators
- Thomas P. McWilliams - Drexel University
- Publication Details
- Communications in statistics. Simulation and computation, v 33(3), pp 843-859
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000224360800020
- Scopus ID
- 2-s2.0-6344243174
- Other Identifier
- 991019167700504721
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- Web of Science research areas
- Statistics & Probability