On quantile processes for m-dependent Rv's
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Publication:3787305
DOI10.1080/02331888708802039zbMath0644.62057OpenAlexW2065925558MaRDI QIDQ3787305
Publication date: 1987
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888708802039
Gaussian processesempirical processesquantile processestwo-sample problemweak approximationsweighted metricsm-dependent random variablesChernoff-Savage theoremsquantile-quantile plotsConfidence bands
Nonparametric tolerance and confidence regions (62G15) Order statistics; empirical distribution functions (62G30) Strong limit theorems (60F15)
Related Items (2)
Conditional empirical, quantile and difference processes for a large class of time series with applications ⋮ Asymptotic normality of \(L\)-statistics based on \(m(n)\)-decomposable time series
Cites Work
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- Graphical Methods in Nonparametric Statistics: A Review and Annotated Bibliography
- A Note on Quantiles in Large Samples
- Weak Convergence of a Two-sample Empirical Process and a New Approach to Chernoff-Savage Theorems
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