Osval Antonio Montesinos López, Abelardo Montesinos López, Crossa, José
This book is open access under a CC BY 4.0 license
This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some...
This book is open access under a CC BY 4.0 license
This open access book brings together the latest genome base prediction mod...
Osval Antonio Montesinos López, Abelardo Montesinos López, Crossa, José
This book is open access under a CC BY 4.0 license
This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some...
This book is open access under a CC BY 4.0 license
This open access book brings together the latest genome base prediction mod...
Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Hernández Ramírez, Gabriela
This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed.
An alternative to analyse non-normal distributed response variables is the use of generalized...
This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approa...
Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Hernández Ramírez, Gabriela
This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed.
An alternative to analyse non-normal distributed response variables is the use of generalized...
This open access book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approa...
