Modelado prediccion enfermedades cultivos - edUTecNe ...

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Modelado para la predicción de enfermedades en cultivos de alto valor comercial DATA F4; SET F3; if tid>=0.077 then ProbO=1; if tid0.50 then Predicho=1; if p1
Modelado para la predicción de enfermedades en cultivos de alto valor comercial 7.3.2. Salida utilizada para el modelado de datos epidemiológicos. Obs dia mes anio dj loc sev sevac d y L G 1 31 8 2009 243 con 0.00100 0.100 1 0.00100 -6.90675 -1.93264 2 9 10 2009 282 con 0.00882 0.880 40 0.00882 -4.72178 -1.55406 3 16 11 2009 320 con 0.02590 2.590 78 0.02590 -3.62737 -1.29571 4 21 12 2009 355 con 0.04610 4.610 113 0.04610 -3.02983 -1.12396 5 28 1 2010 28 con 0.04897 4.897 151 0.04897 -2.96634 -1.10411 6 27 2 2010 58 con 0.28140 28.140 181 0.28140 -0.93753 -0.23742 7 27 3 2010 86 con 0.28680 28.680 209 0.28680 -0.91098 -0.22232 The GLM Procedure Number of observations 7 Dependent Variable: L Sum of Source DF Squares Mean Square F Value Pr > F Model 1 24.75135533 24.75135533 66.57 0.0004 Error 5 1.85896701 0.37179340 Corrected Total 6 26.61032234 Mean 3.300082 R-Square Coeff Var Root MSE l 0.930141 -18.47677 0.609749 - Source DF Type I SS Mean Square F Value Pr > F d 1 24.75135533 24.75135533 66.57 0.0004 Source DF Type III SS Mean Square F Value Pr > F d 1 24.75135533 24.75135533 66.57 0.0004 Pr > |t|
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Editorial de la Universidad Tecnol
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Modelado para la predicción de enf
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Page 141 and 142: 7.2. Anexo 2 7.2.1. Bases de datos
Page 175: Modelado para la predicción de enf
Page 183 and 184: Enrique C. Bombelli Estudios Ingen
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