Cargando…
Empirical comparison of time series models and tensor product penalised splines for modelling spatial dependence in plant breeding field trials
Plant breeding field trials are typically arranged as a row by column rectangular lattice. They have been widely analysed using linear mixed models in which low order autoregressive integrated moving average (ARIMA) time series models, and the subclass of separable lattice processes, are used to acc...
Autores principales: | Gogel, Beverley, Welham, Sue, Cullis, Brian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987337/ https://www.ncbi.nlm.nih.gov/pubmed/36891132 http://dx.doi.org/10.3389/fpls.2022.1021143 |
Ejemplares similares
-
Penalising Brownian paths
por: Roynette, Bernard, et al.
Publicado: (2009) -
Modelling spatial trends in sorghum breeding field trials using a two-dimensional P-spline mixed model
por: Velazco, Julio G., et al.
Publicado: (2017) -
On the inconsistency of ℓ(1)-penalised sparse precision matrix estimation
por: Heinävaara, Otte, et al.
Publicado: (2016) -
Validation and comparison of geostatistical and spline models for spatial stream networks
por: Rushworth, A. M., et al.
Publicado: (2015) -
Cox models with time‐varying covariates and partly‐interval censoring–A maximum penalised likelihood approach
por: Webb, Annabel, et al.
Publicado: (2022)