Abstract
Let (Y N ) N≥1 be a sequence of copies of a random variable of interest Y. In this article, we study the kernel estimator, say , of the mode of Y when Y is subject to the random left truncation. While based on n (n ≤ N) actual observations fulfilling the well-known α-mixing condition, we establish the strong consistency with a rate of the proposed estimator .
Sign-in/Register to access full text options 
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.
