Publication: Asymptotic expansions based on smooth functions in the central limit theorem
Asymptotic expansions based on smooth functions in the central limit theorem
Date
Date
Date
1986
Journal Article
Published version
Citations
Barbour, A. D. (1986). Asymptotic expansions based on smooth functions in the central limit theorem. Probability Theory and Related Fields, 72(2), 289–303. https://doi.org/10.1007/BF00699108
Abstract
Abstract
Abstract
Stein's method is used to derive asymptotic expansions for expectations of smooth functions of sums of independent random variables, together with Lyapounov estimates of the error in the approximation.
Metrics
Views
198 since deposited on 2009-10-20
Acq. date: 2025-11-12
Additional indexing
Creators (Authors)
- Barbour, A D
Volume
Volume
Volume
72
Number
Number
Number
2
Page range/Item number
Page range/Item number
Page range/Item number
289
Page end
Page end
Page end
303
Item Type
Item Type
Item Type
Journal Article
In collections
Keywords
Statistics, Probability and Uncertainty, Statistics and Probability, Analysis
Language
Language
Language
English
Publication date
Publication date
Publication date
1986
Date available
Date available
Date available
2009-10-20
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0178-8051
Additional Information
Additional Information
Additional Information
The original publication is available at www.springerlink.com
OA Status
OA Status
OA Status
Closed
Free Access at
Free Access at
Free Access at
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Publisher DOI
Metrics
Views
198 since deposited on 2009-10-20
Acq. date: 2025-11-12
Citations
Barbour, A. D. (1986). Asymptotic expansions based on smooth functions in the central limit theorem. Probability Theory and Related Fields, 72(2), 289–303. https://doi.org/10.1007/BF00699108
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