TAILIEUCHUNG - Báo cáo hóa học: " Research Article A Strong Limit Theorem for Weighted Sums of Sequences of Negatively Dependent Random Variables"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Strong Limit Theorem for Weighted Sums of Sequences of Negatively Dependent Random Variables | Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2010 Article ID 383805 8 pages doi 2010 383805 Research Article A Strong Limit Theorem for Weighted Sums of Sequences of Negatively Dependent Random Variables Qunying Wu College of Science Guilin University of Technology Guilin 541004 China Correspondence should be addressed to Qunying Wu wqy666@ Received 11 March 2010 Revised 21 June 2010 Accepted 3 August 2010 Academic Editor Soo Hak Sung Copyright 2010 Qunying Wu. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Applying the moment inequality of negatively dependent random variables which was obtained by Asadian et al. 2006 the strong limit theorem for weighted sums of sequences of negatively dependent random variables is discussed. As a result the strong limit theorem for negatively dependent sequences of random variables is extended. Our results extend and improve the corresponding results of Bai and Cheng 2000 from the . case to ND sequences. 1. Introduction and Lemmas Definition . Random variables X and Y are said to be negatively dependent ND if P X x Y y P X x P Y y for all x y e R. A collection of random variables is said to be pairwise negatively dependent PND if every pair of random variables in the collection satisfies . It is important to note that implies P X x Y y P X x P Y y for all x y e R. Moreover it follows that implies and hence and are equivalent. However and are not equivalent for a collection of 3 or more random 2 Journal of Inequalities and Applications variables. Consequently the following definition is needed to define sequences of negatively dependent random variables. Definition . The random variables X1 . Xn are said to be negatively dependent ND if for all real X1 . . xn p n X

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