The DOI matches its Crossref record.
Matrix Algebra From a Statistician's Perspective.
Open accessAbstract
are not especially identified, is not to be taken as a sign that such names, as understood by the Trade Marks and Merchandise Marks Act, may accordingly be used freely by anyone.987654
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Cited by
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Limitations of GCTA as a solution to the missing heritability problem.
Krishna Kumar, S., Feldman, M. W., Rehkopf, D. H., & Tuljapurkar, S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520109113 · Cited by 128
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Metadata
- Authors
- Harville, D. A.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1998-09
- Volume
- 54
- Issue
- 3
- Pages
- 1205
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2797925981
- Cited by
- 654
- References
- 0
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Matrix Algebra From a Statistician's Perspective. https://app.cochat.ai/papers/10.2307/2533884
- The paper
- Harville, D. A. (1998). Matrix Algebra From a Statistician's Perspective. Biometrics. https://doi.org/10.2307/2533884
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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.
