The algorithm construction for randomness with censored data in simulation studies in reliability

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Gaspar, D (Author) Other; Silva, JL (Author) Other; Luis Andrade Ferreira (Author) FEUP

Conference proceedings International

Title: ESREL 2017 ¿ 27th European Safety and Reliability Conference: Safety and Reliability. Theory and Applications

Pages: 2017-2022

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Q-7S5

DOI: 10.1201/9781315210469-252

Abstract (EN): Simulation studies use computer intensive procedures to assess the performance of a variety of statistical methods in relation to a known truth. Such evaluation cannot be achieved with studies of real data alone. Designing high-quality simulations that reflect the complex situations seen in practice, such as in failures prognostic studies, is not a simple process. All simulation studies involve the generation of several independent simulated data sets. These generated data sets must also be completely independent for the different scenarios considered, such as in the presence of censored data. In our article, we intend to contribute in the way of design and programming algorithms that generate correctly, robust and non-skewed censored data and are a useful tool in the field of simulation. On the other hand, the purpose of this paper is to develop a test procedure based on a Software, to verify the generated censored data. The random number generator must pass before it can be reliably adopted as a means of generating random numbers. © 2017 Taylor & Francis Group, London.

Language: English

Type (Professor's evaluation): Scientific