Application of Spatial Mixed Model in Agricultural Field Experiment: Advantage of Spatial Mixed Model over Traditional statistical Analysis - Couverture souple

Gemechu, Dibaba; Aweke, Girma

 
9783844393156: Application of Spatial Mixed Model in Agricultural Field Experiment: Advantage of Spatial Mixed Model over Traditional statistical Analysis
Couverture souple
ISBN 10 : 3844393153 ISBN 13 : 9783844393156
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Field experiments in agronomy and related disciplines have traditionally been affected by soil heterogeneity. This is because the soil characteristics are typically non-random and show fertility trend, spatial autocorrelation or periodicity. In the same way that spatial modeling is getting popular, robust designs which utilize spatial information are now common. Spatial variation in fertility, moisture, intercepted light, and other environmental factors can bias variety contrasts and inflate residual variation. This book,therefore,is to evaluate the efficiency of spatial statistical analysis in field trials and, particularly,to demonstrate the benefits of the approach when experimental observations are spatially dependent. Three different data sets taken from Ethiopian Agricultural Research Organization were used for the analysis. The analysis should help agronomists and any one else who may be want to analyze spatially related data.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Field experiments in agronomy and related disciplines have traditionally been affected by soil heterogeneity. This is because the soil characteristics are typically non-random and show fertility trend, spatial autocorrelation or periodicity. In the same way that spatial modeling is getting popular, robust designs which utilize spatial information are now common. Spatial variation in fertility, moisture, intercepted light, and other environmental factors can bias variety contrasts and inflate residual variation. This book,therefore,is to evaluate the efficiency of spatial statistical analysis in field trials and, particularly,to demonstrate the benefits of the approach when experimental observations are spatially dependent. Three different data sets taken from Ethiopian Agricultural Research Organization were used for the analysis. The analysis should help agronomists and any one else who may be want to analyze spatially related data.

Biographie de l'auteur

Gemechu B. Dibaba, Msc: Studied Biostatistics at Addis Ababa University. He is a lecture in the Department of Statistics at the University of Addis Ababa. He has presented different Statistical courses such as Statistics for Geologist, Introduction to Categorical Data Analysis, Introduction to Probability Theory, etc.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844393153
ISBN 13 
9783844393156
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
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