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The Analysis of Incomplete Data
Abstract
In this paper, we attempt to provide a simple taxonomy for incomplete-data problems and at the same time develop unified methods of analysis. The emphasis is on techniques which are natural extensions of the complete-data analysis and which will handle rather general classes of incomplete-data problems as opposed to custom-made techniques for special problems. The principle of estimation is either maximum likelihood or is at least based on maximum likelihood.
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Citations
Cited by
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
“…matrix is a by-product of the computation of cj*. Professors Carter and Hartley speak to a question raised by Mr Orchard in remarking that Hartley and Hocking (1971) noted the possibility of obtaining an estimate of the asymptotic covariance matrix from successive iterates of the EM…”
BackgroundMethodInfluentialEnders, C., & Bandalos, D. (2001) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0803_5 · Cited by 4,978
Principled missing data methods for researchers
Dong, Y., & Peng, C.-Y. J. (2013) · SpringerPlus · doi:10.1186/2193-1801-2-222 · Cited by 2,208
A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
Wei, G. C. G., & Tanner, M. A. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10474930 · Cited by 1,453
A Primer on Maximum Likelihood Algorithms Available for Use With Missing Data
Enders, C. K. (2001) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0801_7 · Cited by 1,027
Metadata
- Authors
- Hartley, H. O., & Hocking, R. R.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1971-12
- Volume
- 27
- Issue
- 4
- Pages
- 783
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2074960943
- Cited by
- 295
- References
- 0
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hartley, H. O., & Hocking, R. R. (1971). The Analysis of Incomplete Data. Biometrics. https://doi.org/10.2307/2528820
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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.
