Examining missing data mechanisms via homogeneity of paramet…
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- DOI 10.1002/wics.1287
- OpenAlex ID W1549830315
- Type Article
- Language EN
- Published 21 Dec 2013
- Volume 6 (1)
- Pages 56–73
- Source Wiley Interdisciplinary Reviews Computat…
- Publisher Wiley
- Countries 1
- Institutions 2
- Added 24 Jun 2016
- Updated 14 Oct 2026
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Examining missing data mechanisms via homogeneity of parameters, homogeneity of distributions, and multivariate normality
Article 2013 EN
This paper reviews various methods of identifying missing data mechanisms. The three well‐known mechanisms of missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR) are considered. A number of tests deem rejection of homogeneity of means and/or covariances (HMC) among observed data patterns as a means to reject MCAR. Utility of these tests as well as their s…
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2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Mortaza Jamshidian Corresponding | University of California Syste… (US) | |
| 2 | Ke‐Hai Yuan | University of Notre Dame (US) |
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