Complete \(f\)-moment convergence for Sung's type weighted sums and its application to the EV regression models
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Publication:2066523
DOI10.1007/s00362-019-01112-zzbMath1482.60049OpenAlexW2941158544WikidataQ127953793 ScholiaQ127953793MaRDI QIDQ2066523
Publication date: 14 January 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-019-01112-z
strong consistencyerrors-in-variables modelsextended negatively dependent random variablescomplete \(f\)-moment convergenceSung's type weighted sums
Asymptotic properties of parametric estimators (62F12) Linear inference, regression (62J99) Strong limit theorems (60F15)
Related Items (10)
Complete $f$-Moment Convergence for Randomly Weighted Sums of Extended Negatively Dependent Random Variables and Its Statistical Application ⋮ Complete q-th moment convergence for the maximum of partial sums of m-negatively associated random variables and its application to the EV regression model* ⋮ Sufficient and necessary conditions for the strong consistency of LS estimators in simple linear EV regression models ⋮ Complete f-moment convergence for arrays of rowwise m-negatively associated random variables and its statistical applications ⋮ Complete \(f\)-moment convergence for maximal randomly weighted sums of arrays of rowwise widely orthant dependent random variables and its statistical applications ⋮ A general result on complete f -moment convergence with its application to nonparametric regression models ⋮ Complete f-moment convergence for negatively superadditive dependent random variables ⋮ Complete f -moment convergence for weighted sums of asymptotically almost negatively associated random variables and its application in semiparametric regression models ⋮ Strong convergence for weighted sums of WOD random variables and its application in the EV regression model. ⋮ Complete convergence for weighted sums of widely orthant-dependent random variables
Cites Work
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- Complete convergence for weighted sums of NSD random variables and its application in the EV regression model
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- Complete Convergence for Weighted Sums and Arrays of Rowwise Extended Negatively Dependent Random Variables
- Complete convergence for weighted sums of extended negatively dependent random variables
- Precise large deviations for the difference of two sums of END random variables with heavy tails
- Some general strong laws for weighted sums of stochastically dominated random variables
- CONVERGENCE PROPERTIES OF THE PARTIAL SUMS FOR SEQUENCES OF END RANDOM VARIABLES
- Limiting behaviour for arrays of row-wise END random variables under conditions of h-integrability
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- Complete Convergence and the Law of Large Numbers
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