Abstract
How to build the small-sample data distribution is a major issue to be addressed for analyzing large power equipment lifetime. To find a better product lifetime probability distribution function, a new method based on bootstrap and maximum entropy is proposed to study on the problem of small-sample product life probability distribution. The result shows that this new method is more accurate and feasible compared with bootstrap and maximum entropy respectively. Finally, an actual example of small-sample product lifetime distribution shows that this new approach has better guiding significance for practice.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
