Abstract
In this paper, we derive two maximal inequalities for quadratic forms of negative superadditive dependence random variables. Then, we obtain the strong law of large numbers and the rate of convergence under some suitable conditions on existence of r th moment. Noting that, the dependence structure that has been studied is an extension of negative association and sometimes more useful than it and can be used to get many important probability inequalities.
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.
