Multi-criteria-based optimal life-testing plans under hybrid censoring scheme

• Ritwik Bhattacharya ^[1] ; Baidya Nath Saha ^[3] ; Graceila González Farías ^[3] ; Narayanaswamy Balakrishnan ^[2]
  1. [1] Instituto Tecnológico y de Estudios Superiores de Monterrey

     Instituto Tecnológico y de Estudios Superiores de Monterrey

     México

     
  2. [2] McMaster University

     McMaster University

     Canadá

     
  3. [3] Centro de Investigación en Matemáticas (CIMAT), Monterrey, C.P. 66629, México

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• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 29, Nº. 2, 2020, págs. 430-453
• Idioma: inglés
• DOI: 10.1007/s11749-019-00660-8
• Texto completo no disponible (Saber más ...)
• Dialnet Métricas: 1 Cita
• Resumen

  • In designing an optimal life-testing experiment under censoring setup, the design parameters are usually chosen by optimizing a suitable criterion function. The criterion function is chosen by using either a variance-based or a cost-based model, and sometimes a combination of both these factors. However, it is an optimization problem with a single objective function. In this article, a multi-criteria-based optimization problem is considered in the context of hybrid censored life-testing experiment. Both the variance and the cost factors are optimized simultaneously. The exact distribution of the maximum likelihood estimate of the lifetime model parameter is used to construct the optimality criteria. All the proposed methods are illustrated through numerical examples. One dataset is finally analyzed for real-life applications.

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