Probability inequalities for sums of NSD random variables and applications (Q5085578)

scientific article; zbMATH DE number 7549034

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English	Probability inequalities for sums of NSD random variables and applications	scientific article; zbMATH DE number 7549034

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instance of

scholarly article

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title

Probability inequalities for sums of NSD random variables and applications (English)

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27 June 2022

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zbMATH Keywords

NSD random variable

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generalized linear models

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M-estimates

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weak convergence

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MaRDI profile type

Publication

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full work available at URL

https://doi.org/10.1080/03610926.2018.1536211

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cites work

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A connection between supermodular ordering and positive/negative association.

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Almost sure convergence for END sequences and its application to $M$ estimator in linear models

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Complete moment convergence and complete convergence for weighted sums of NSD random variables

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Complete convergence and complete moment convergence for widely orthant-dependent random variables

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A weighted M-estimator for linear regression models with randomly truncated data

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Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models

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Probability Inequalities for Sums of Independent Random Variables

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Probability Inequalities for Sums of Bounded Random Variables

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Bahadur representations of M-estimators and their applications in general linear models

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Negatively superadditive dependence of random variables with applications.

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Negative association of random variables, with applications

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Q4163421

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$L_p$-convergence, complete convergence, and weak laws of large numbers for asymptotically negatively associated random vectors with values in $\mathbb{R}^d$

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A comparison theorem on moment inequalities between negatively associated and independent random variables

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Convergence properties for weighted sums of NSD random variables

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Moment inequalities and weak convergence for negatively associated sequences

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On the strong consistency of M-estimates in linear models for negatively superadditive dependent errors

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Complete convergence of weighted sums for arrays of rowwise $\varphi $-mixing random variables.

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ON CONSISTENCY OF LS ESTIMATORS IN THE ERRORS-IN-VARIABLE REGRESSION MODEL

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Complete moment convergence for double-indexed randomly weighted sums and its applications

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Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors

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Q4830477

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Complete convergence and complete moment convergence for negatively associated sequences of random variables

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COMPLETE MOMENT CONVERGENCE FOR ARRAYS OF ROWWISE NEGATIVELY ASSOCIATED RANDOM VARIABLES AND ITS APPLICATION IN NON-PARAMETRIC REGRESSION MODEL

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Weighted version of strong law of large numbers for a class of random variables and its applications

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Complete moment convergence and <i>L<sub>r</sub></i> convergence for asymptotically almost negatively associated random variables

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Q3135841

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published in

Communications in Statistics: Theory and Methods

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Identifiers

DOI

10.1080/03610926.2018.1536211

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:5085578