On the strong law of large numbers for linear combinations of concomitants
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Publication:2227899
DOI10.1134/S1063454120030061zbMath1460.62062MaRDI QIDQ2227899
Publication date: 16 February 2021
Published in: Vestnik St. Petersburg University. Mathematics (Search for Journal in Brave)
Random fields (60G60) Asymptotic distribution theory in statistics (62E20) Order statistics; empirical distribution functions (62G30) Strong limit theorems (60F15) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12)
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Cites Work
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- Rate of convergence to the normal law of sums of induced order statistics
- A strong law for linear functions of order statistics
- Linear combination of concomitants of order statistics with application to testing and estimation
- Convergence of sample paths of normalized sums of induced order statistics
- General distribution theory of the concomitants of order statistics
- Statistical foundations for assessing the difference between the classical and weighted-Gini betas
- Functional limit theorems for induced order statistics
- Weighted allocations, their concomitant-based estimators, and asymptotics
- On the subspaces of \(L^p\) \((p > 2)\) spanned by sequences of independent random variables
- Concomitants of Multivariate Order Statistics With Application to Judgment Poststratification
- Some Theorems on Induced Order Statistics
- Linear Functions of Concomitants of Order Statistics with Application to Nonparametric Estimation of a Regression Function
- The asymptotic theory of concomitants of order statistics
- Concomitants and correlation estimates
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