Isbn: 9783838399829 - spatial modelling techniques to improve data analysis of field trials (9 resultados)

Condición: New. pp. 352.

Taschenbuch. Condición: Neu. Spatial Modelling Techniques to Improve Data Analysis of Field Trials | Girma Taye Aweke | Taschenbuch | 352 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838399829 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the major problem in the analysis of agricultural field trials is accounting for field variability. Lack of sound spatial model selection method hindered the use of appropriate spatial models to adequately account for field variability. Models currently in use for local and global variations are fraught with difficulties due to confounding problem between local and global variations. Strategies for monitoring field variability, methods of model selection and further development in spatial models are required to account for both local and global variation. Strategies that lead to an improved analysis of data from field trials are also necessary. Lessons learnt through the analysis of 513 large field trials from Ethiopia form the basis for development and extension of spatial models. Inefficiency of the conventional methods of analysis and possibility of improving both modelling and design is illustrated using results from the data. The book is useful for researchers, academicians and studnets in agriculture, biology, environment, natural resources. 352 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Aweke Girma TayeGirma Holds an MSc from University of Reading (UK) and a PhD degree in Biometry from UKZN (SA). Most of his career was devoted to developing and expanding use of statistical methods in agriculture, biology and heal.…

Condición: New. Print on Demand pp. 352 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 352.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the major problem in the analysis of agricultural field trials is accounting for field variability. Lack of sound spatial model selection method hindered the use of appropriate spatial models to adequately account for field variability. Models currently in use for local and global variations are fraught with difficulties due to confounding problem between local and global variations. Strategies for monitoring field variability, methods of model selection and further development in spatial models are required to account for both local and global variation. Strategies that lead to an improved analysis of data from field trials are also necessary. Lessons learnt through the analysis of 513 large field trials from Ethiopia form the basis for development and extension of spatial models. Inefficiency of the conventional methods of analysis and possibility of improving both modelling and design is illustrated using results from the data. The book is useful for researchers, academicians and studnets in agriculture, biology, environment, natural resources.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 352 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - One of the major problem in the analysis of agricultural field trials is accounting for field variability. Lack of sound spatial model selection method hindered the use of appropriate spatial models to adequately account for field variability. Models currently in use for local and global variations are fraught with difficulties due to confounding problem between local and global variations. Strategies for monitoring field variability, methods of model selection and further development in spatial models are required to account for both local and global variation. Strategies that lead to an improved analysis of data from field trials are also necessary. Lessons learnt through the analysis of 513 large field trials from Ethiopia form the basis for development and extension of spatial models. Inefficiency of the conventional methods of analysis and possibility of improving both modelling and design is illustrated using results from the data. The book is useful for researchers, academicians and studnets in agriculture, biology, environment, natural resources.…