Abstract
Abstract : A nonparametric Bayesian estimator F (circumflex) of the survival function F constructed from time-sequential progressively censored observations is found to subsume several estimators of F utilized in practice. Weak convergence of F (circumflex) is developed and the limiting process is found to coincide with that obtained when complete response profiles of the sample are available, leading to suitable application of F (circumflex) with consequent reductions in costs and time and without loss of asymptotic accuracy. (Author)
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.
