Photo by thinkmagically from unsplash
In this paper, the parameter estimation is discussed by using the maximum likelihood method when the available data have the form of progressively censored sample from a constant-stress accelerated competing… Click to show full abstract
In this paper, the parameter estimation is discussed by using the maximum likelihood method when the available data have the form of progressively censored sample from a constant-stress accelerated competing failure model. Normal approximation and bootstrap confidence intervals for the unknown parameters are obtained and compared numerically. The simulation results show that bootstrap confidence intervals perform better than normal approximation. A thermal stress example is discussed.
Keywords:
failure model;
statistical inference;
competing failure;
accelerated competing
Journal Title: Thermal Science
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Thermal Science
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!