Modeling of Multinominal data with latent structure: application to geographical mapping of human gene and haplotype frequencies
Journal articles
- Academic article
Gelfand, A; Vounatsou, P; Smith, T
Published in: Biostatistics
2000
Duke Scholars
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Published In
Biostatistics
Publication Date
2000
Volume
10
Start / End Page
177 / 189
Related Subject Headings
- Statistics & Probability
- 0604 Genetics
- 0104 Statistics
Citation
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Gelfand, A., Vounatsou, P., & Smith, T. (2000). Modeling of Multinominal data with latent structure: application to geographical mapping of human gene and haplotype frequencies. Biostatistics, 10, 177–189.
Gelfand, A., P. Vounatsou, and T. Smith. “Modeling of Multinominal data with latent structure: application to geographical mapping of human gene and haplotype frequencies.” Biostatistics 10 (2000): 177–89.
Gelfand A, Vounatsou P, Smith T. Modeling of Multinominal data with latent structure: application to geographical mapping of human gene and haplotype frequencies. Biostatistics. 2000;10:177–89.
Gelfand, A., et al. “Modeling of Multinominal data with latent structure: application to geographical mapping of human gene and haplotype frequencies.” Biostatistics, vol. 10, 2000, pp. 177–89.
Gelfand A, Vounatsou P, Smith T. Modeling of Multinominal data with latent structure: application to geographical mapping of human gene and haplotype frequencies. Biostatistics. 2000;10:177–189.
Published In
Biostatistics
Publication Date
2000
Volume
10
Start / End Page
177 / 189
Related Subject Headings
- Statistics & Probability
- 0604 Genetics
- 0104 Statistics