Items where Author is "Cullis, Brian R."Group by: Item Type | Date Jump to: Article Number of items: 7. ArticleCullis, B. R., Smith, A. B., Cocks, N. A. and Butler, D. G. (2020) The Design of Early-Stage Plant Breeding Trials Using Genetic Relatedness. Journal of Agricultural, Biological and Environmental Statistics, 25 . pp. 553-578. https://doi.org/10.1007/s13253-020-00403-5 De Faveri, J., Verbyla, A. P., Cullis, B. R., Pitchford, W. S. and Thompson, R. (2016) Residual VarianceāCovariance Modelling in Analysis of Multivariate Data from Variety Selection Trials. Journal of Agricultural, Biological and Environmental Statistics . pp. 1-22. https://doi.org/10.1007/s13253-016-0267-0 Hunt, C. H., Smith, A. B., Jordan, D. R. and Cullis, B. R. (2013) Predicting Additive and Non-additive Genetic Effects from Trials Where Traits Are Affected by Interplot Competition. Journal of Agricultural Biological and Environmental Statistics, 18 (1). pp. 53-63. https://doi.org/10.1007/s13253-012-0117-7 Smith, A. B., Thompson, R., Butler, D. G. and Cullis, B. R. (2011) The design and analysis of variety trials using mixtures of composite and individual plot samples. Journal of the Royal Statistical Society: Series C (Applied Statistics), 60 (3). pp. 437-455. https://doi.org/10.1111/j.1467-9876.2010.00755.x Butler, D. G., Eccleston, J. A. and Cullis, B. R. (2008) On an approximate optimality criterion for the design of field experiments under spatial dependence. Australian and New Zealand Journal of Statistics, 50 (4). pp. 295-307. https://doi.org/10.1111/j.1467-842X.2008.00518.x Welham, S., Cullis, B. R., Gogel, B., Gilmour, A. and Thompson, R. (2004) Prediction in linear mixed models. Australian and New Zealand Journal of Statistics, 46 (3). pp. 325-347. https://doi.org/10.1111/j.1467-842X.2004.00334.x Gilmour, A., Cullis, B. R., Welham, S., Gogel, B. and Thompson, R. (2004) An efficient computing strategy for prediction in mixed linear models. Computational Statistics and Data Analysis, 44 (4). pp. 571-586. https://doi.org/10.1016/S0167-9473(02)00258-X |