Analysis of Reliability Experiments with Random Blocks and Subsampling

• Autores: Jennifer L. K. Kensler, Laura J. Freeman, G. Geoffrey Vining
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Nº. 3, 47, 2015, págs. 235-251
• Idioma: inglés
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• Resumen

  • Reliability experiments provide important information regarding the life of an item, including how various factors affect item life. Current analyses of reliability data usually assume a completely randomized design. However, reliability experiments are frequently executed with restrictions on randomization. Common restrictions on randomization include subsampling and blocking. This paper proposes a nonlinear mixed-model analysis for reliability experiments with random blocks and subsampling. A simulation study compares this nonlinear mixed model analysis with a two-stage analysis and traditional reliability analyses.