Abstract
Let X, X1, X2,... be a sequence of independent and identically distributed random variables in the domain of attraction of a normal distribution. A universal result in almost sure limit theorem for the self-normalized partial sums S n /V n is established, where . Mathematical Scientific Classification: 60F15.
Highlights
Throughout this article, we assume {X, Xn}n Î N is a sequence of independent and identically distributed (i.i.d.) random variables with a non-degenerate distribution function F
We say that the random variable belongs to the domain of attraction of the normal law, if there exist constants an > 0, bn Î R such that
Let {X, Xn}nÎN be a sequence of i.i.d. random variables in the domain of attraction of the normal law with mean zero
Summary
A note on the almost sure limit theorem for selfnormalized partial sums of random variables in the domain of attraction of the normal law Qunying Wu1,2. Edu.cn 1College of Science, Guilin University of Technology, Guilin 541004, P. R. China Full list of author information is available at the end of the article
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.