Edgeworth expansions for statistics which are functions of lattice and non-lattice variables

DOI10.1016/0167-7152(91)90158-NzbMath0724.62021OpenAlexW1970102376MaRDI QIDQ758029

Gutti Jogesh Babu

Publication date: 1991

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(91)90158-n

zbMATH Keywords

Edgeworth expansionssample meanlattice distributionsmean absolute deviationCramer's conditionStudent's t-statisticnon-lattice variablessample standard deviation

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20)

Related Items (3)

Bootstrap for nonstandard cases ⋮ Expansions for statistics involving the mean absolute deviations ⋮ On confidence intervals in nonparametric binary regression via Edgeworth expansions

Cites Work

• Unnamed Item
• On Edgeworth expansions in the mixture cases
• Nonuniform central limit bounds with applications to probabilities of deviations
• On the validity of the formal Edgeworth expansion
• Confidence Intervals Based on the Mean Absolute Deviation of a Normal Sample
• A Note on Quantiles in Large Samples

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