scientific article; zbMATH DE number 3359489
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Publication:5633359
zbMath0226.60050MaRDI QIDQ5633359
Publication date: 1972
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Cites Work
- Unnamed Item
- Unnamed Item
- A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
- The Law of the Iterated Logarithm for Some Classes of Stationary Processes
- A Note on Quantiles in Large Samples
- On Bahadur's Representation of Sample Quantiles
- Asymptotic Normality of Sample Quantiles for $m$-Dependent Processes
- On the Bahadur representation of sample quantiles in some stationary multivariate autoregressive processes
- A Note on Weak Convergence of Empirical Processes for Sequences of $\phi$- Mixing Random Variables
