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Edité par Springer International Publishing, Springer International Publishing Jan 2022, 2022
ISBN 10 : 3030890120 ISBN 13 : 9783030890124
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book is open access under a CC BY 4.0 licenseSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 716 pp. Englisch.
Edité par Springer International Publishing, 2022
ISBN 10 : 3030890120 ISBN 13 : 9783030890124
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is open access under a CC BY 4.0 licenseThis 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 elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Edité par Springer International Publishing Jan 2022, 2022
ISBN 10 : 3030890090 ISBN 13 : 9783030890094
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 53,49
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Ajouter au panierBuch. Etat : Neu. Neuware -This book is open access under a CC BY 4.0 licenseSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 716 pp. Englisch.
Edité par Springer International Publishing, 2022
ISBN 10 : 3030890090 ISBN 13 : 9783030890094
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is open access under a CC BY 4.0 licenseThis 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 elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Edité par Springer International Publishing Jan 2022, 2022
ISBN 10 : 3030890120 ISBN 13 : 9783030890124
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 42,79
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is open access under a CC BY 4.0 licenseThis 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 elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool. 716 pp. Englisch.
Edité par Springer International Publishing Jan 2022, 2022
ISBN 10 : 3030890090 ISBN 13 : 9783030890094
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 53,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is open access under a CC BY 4.0 licenseThis 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 elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool. 716 pp. Englisch.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 81,64
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Edité par Springer International Publishing, 2022
ISBN 10 : 3030890120 ISBN 13 : 9783030890124
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 39,60
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an Open Access book published under the CC-BY 4.0 licenseHighlights statistical and machine learning models for complex genetic and environmental interactionsOffers a practical approach using real and simulated datasets to illustrat.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 87,25
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Edité par Springer International Publishing, 2022
ISBN 10 : 3030890090 ISBN 13 : 9783030890094
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 48,37
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is an Open Access book published under the CC-BY 4.0 licenseHighlights statistical and machine learning models for complex genetic and environmental interactionsOffers a practical approach using real and simulated datasets to illustrat.