Dibaba gemechu (6 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,35
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Taschenbuch. Condizione: Neu. Application of Spatial Mixed Model in Agricultural Field Experiment | Advantage of Spatial Mixed Model over Traditional statistical Analysis | Dibaba Gemechu (u. a.) | Taschenbuch | 96 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844393156 | Verantwortliche Person für die EU: pre…igu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 122,40
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 49,00
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 pe…riodicity. 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. 96 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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EUR 41,05
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gemechu DibabaGemechu 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 Stati…stical courses such as Statistic.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,00
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 period…icity. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 49,00
EUR 60,81 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 periodi…city. 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.
