Negatively Dependent
Equivalent conditions of complete moment convergence for extended negatively dependent random variables
... so-called negatively dependent (ND) random variables which was introduced by Bozorgnia et ...of dependent random variables are very useful in reliability theory and ...
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Complete moment convergence for product sums of sequence of extended negatively dependent random variables
... extended negatively dependent random variables are discussed by utilizing the method of Wang et ...extended negatively dependent random variables are ...
15
Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables
... In this paper, we obtain the upper exponential bounds for the tail probabilities of the quadratic forms for negatively dependent subgaussian random variables. In particular the law of iterated logarithm for ...
5
The Almost Sure Convergence for Weighted Sums of Linear Negatively Dependent Random Variables
... linear negatively dependent random ...linear negatively dependent identically random variables with finite p -th absolute moment ( p ≥ 2 ) the weighted sums ...
6
A Strong Limit Theorem for Weighted Sums of Sequences of Negatively Dependent Random Variables
... of negatively dependent random variables which was obtained by Asadian et ...of negatively dependent random variables is ...for negatively dependent sequences of random variables ...
8
A note on the complete convergence for weighted sums of negatively dependent random variables
... In (.), a ≈ b means that a = O(b) and b = O(a). Theorem . extends the result of Liang and Su [] for negatively associated random variables to negatively dependent case. The proof of the ...
10
A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables
... In this article, applying moment inequality of negatively dependent (ND) random variables which obtained by Asadian et al., the complete convergence theorem for weighted sums of arrays of rowwise ND random ...
10
A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables
... of negatively dependent random variables is further ...of negatively dependent random variables is ...to negatively dependent random variables under mild moment ...
10
Complete Convergence for Negatively Dependent Sequences of Random Variables
... Complete convergence is one of the most important problems in probability theory. Recent results of the complete convergence can be found in Wu 11, 12 and Sung 13, 14. In this paper we study the complete convergence for ...
10
Construction of Bivariate Distribution by Mixing Positively Dependent and Negatively Dependent Distributions
... of [8] given by [15] introduces some conditions for negatively dependent families. According to the eq. (2.1) and the condition (2.1) of [15], we have 𝑤 𝑥, 𝑦 = −𝐹 𝑥 𝐺(𝑦)𝐻 𝑥, 𝑦 . Except for the condition ...
6
Convergence rates of wavelet density estimation for negatively dependent sample
... variables. Soon afterwards, the above results were extended to the case of negatively de- pendent sequences [7]. Chesneau [4] and Liu [12] also considered density estimation for an NA sample. Kou [11] defined ...
13
M test in linear models with negatively superadditive dependent errors
... ported in [–]. Most of the results rely on the independence errors. As Huber claimed in [], the independence assumption on the errors is a serious restriction. It is practically essential and imperative to explore the ...
21
A note on the complete convergence for arrays of dependent random variables
... for negatively associated and negatively dependent ran- dom variables and then they proved the case of mean zero by using these ...of negatively associated mean zero, an additional condition ...
8
ON THE LAWS OF LARGE NUMBERS FOR DEPENDENT RANDOM VARIABLES
... pairwise negatively dependent ...rowwise negatively dependent ...special negatively dependent ...bounded negatively dependent ...
5
On the exponential inequality for acceptable random variables
... of negatively dependent random variables, and then is also one kind of families of negatively depen- dent random ...positively dependent random ...common negatively dependent ...
10
A note on the complete convergence for sequences of pairwise NQD random variables
... In this paper, complete convergence and strong law of large numbers for sequences of pairwise negatively quadrant dependent (NQD) random variables with non- identically distributed are investigated. The ...
8
Anopheles stephensi p38 MAPK signaling regulates innate immunity and bioenergetics during Plasmodium falciparum infection
... are dependent on nuclear factor (NF)-κB [43, 44], suggesting that p38 MAPK signaling could also alter ROS-dependent induction of NF-κB- dependent anti-malarial immune ...
21
The receptor protein tyrosine phosphatase PTPRB negatively regulates FGF2-dependent branching morphogenesis.
... Mammary epithelial development is a highly regulated process dependent on the interplay between systemically acting hormones and locally produced growth factors. During puberty rising levels of the ovarian steroid ...
12
The receptor protein tyrosine phosphatase PTPRB negatively regulates FGF2 dependent branching morphogenesis
... Mammary epithelial development is a highly regulated process dependent on the interplay between systemically acting hormones and locally produced growth factors. During puberty, rising levels of the ovarian ...
12
Will Marriage Lead to Poverty? Research on the Influence of Marriage on Chinese Family Poverty
... Table 5 Models (1)-(3) after controlling other variables step by step, the posi- tive and negative characteristics of the core key variable “Marriage or not” and their significance have not changed significantly. This ...
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