A Strong Law of Large Numbers for Set-Valued Negatively Dependent Random Variables
نویسندگان
چکیده
منابع مشابه
MARCINKIEWICZ-TYPE STRONG LAW OF LARGE NUMBERS FOR DOUBLE ARRAYS OF NEGATIVELY DEPENDENT RANDOM VARIABLES
In the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. Let be a double sequence of pairwise negatively dependent random variables. If for all non-negative real numbers t and , for 1 < p < 2, then we prove that (1). In addition, it also converges to 0 in ....
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in the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. let be a double sequence of pairwise negatively dependent random variables. if for all non-negative real numbers t and , for 1 < p < 2, then we prove that (1). in addition, it also converges to 0 in . the res...
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Throughout this paper, let denote the set of nonnegative integer, let {X,Xn, n ∈ } be a sequence of random variables defined on probability space Ω,F, P , and put Sn ∑n k 1 Xk. The symbol C will denote a generic constant 0 < C < ∞ which is not necessarily the same one in each appearance. In 1 , Jajte studied a large class of summability method as follows: a sequence {Xn, n ≥ 1} is summable to X...
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ژورنال
عنوان ژورنال: International Journal of Statistics and Probability
سال: 2016
ISSN: 1927-7040,1927-7032
DOI: 10.5539/ijsp.v5n3p102