The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Asymptotic analysis of stochastic programs
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Citations
Cites
Convergence of Probability Measures
Billingsley, P. (1999) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316962 · Cited by 13,910
Rockafellar, R. T. (1970) · Princeton University Press eBooks · doi:10.1515/9781400873173 · Cited by 10,801
Linear Statistical Inference and its Applications: Second Editon
Rao, C. R. (1973) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316436 · Cited by 10,489
Robust estimation of a location parameter
Huber, P. J. (1964) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177703732 · Cited by 7,228
Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
(1967) · Project Euclid (Cornell University) · Cited by 4,720
(1979) · Studies in Mathematics and Its Applications · doi:10.1016/s0168-2024(09)x7002-5 · Cited by 1,594
Introduction to Sensitivity and Stability Analysis in Nonlinear Programming
(1983) · Mathematics in Science and Engineering/Mathematics in science and engineering · doi:10.1016/s0076-5392(08)x6041-2 · Cited by 1,074
Strongly Regular Generalized Equations
Robinson, S. M. (1980) · Mathematics of Operations Research · doi:10.1287/moor.5.1.43 · Cited by 968
Mathematical Programming The State of the Art
Bachem, A., Grötschel, M., & Korte, B. H. (1983) · Springer eBooks · doi:10.1007/978-3-642-68874-4 · Cited by 728
Cited by
Shapiro, A. (2003) · Handbooks in Operations Research and Management Science · doi:10.1016/s0927-0507(03)10006-0 · Cited by 916
Self-citationMonte Carlo bounding techniques for determining solution quality in stochastic programs
Mak, W.-K., Morton, D. P., & Wood, R. K. (1999) · Operations Research Letters · doi:10.1016/s0167-6377(98)00054-6 · Cited by 704
The empirical behavior of sampling methods for stochastic programming
Linderoth, J., Shapiro, A., & Wright, S. (2006) · Annals of Operations Research · doi:10.1007/s10479-006-6169-8 · Cited by 425
Self-citationMonte Carlo sampling-based methods for stochastic optimization
Homem-de-Mello, T., & Bayraksan, G. (2014) · Surveys in Operations Research and Management Science · doi:10.1016/j.sorms.2014.05.001 · Cited by 283
CONSTRAINT QUALIFICATIONS IN PARTIAL IDENTIFICATION
Kaido, H., Molinari, F., & Stoye, J. (2022) · Econometric Theory · doi:10.1017/s0266466621000207 · Cited by 16
Metadata
- Authors
- Shapiro, A.
- Venue
- Annals of Operations Research
- Published
- 1991-12
- Volume
- 30
- Issue
- 1
- Pages
- 169-186
- ISSN
- 0254-5330 (ISSN-L)
- 1572-9338
- OpenAlex
- W1980247637
- Cited by
- 259
- References
- 18
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Shapiro, A. (1991). Asymptotic analysis of stochastic programs. Annals of Operations Research. https://doi.org/10.1007/bf02204815
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
