1 evaluación del impacto de la implementacion de un plan de partos ...
1 evaluación del impacto de la implementacion de un plan de partos ...
1 evaluación del impacto de la implementacion de un plan de partos ...
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4 -.135 -.82 ** -.173 -1.08 ***5 .037 .22 * .026 .16 *6 -.323 -1.92 **** -.279 -1.74 ****7 .015 .08 * -.014 -.09 *8 -.065 -.35 ** .026 .16 *9 -.001 -.01 * .006 .04 *10 .173 .94 *** .122 .76 **11 .101 .54 ** .146 .91 **12 .022 .11 * -.135 -.84 **Section 4Mo<strong><strong>de</strong>l</strong> Forecasting for Time Series Variable Y = PromIEP4m: NEWLY IDENTIFIED VARIABLE X1 = I~P00013 1999/ 1 PULSE: NEWLY IDENTIFIED VARIABLE X2 = I~P00036 2006/ 3 PULSE: NEWLY IDENTIFIED VARIABLE X3 = I~P00025 2003/ 1 PULSESection 5MODEL COMPONENT LAG COEFF STANDARD P T# (BOP) ERROR VALUE VALUE1 CONSTANT 398.INPUT SERIES X1 I~P00013 1999/ 1 PULSE2 Omega (input) -Factor # 1 0 125.INPUT SERIES X2 I~P00036 2006/ 3 PULSE3 Omega (input) -Factor # 2 0 95.6INPUT SERIES X3 I~P00025 2003/ 1 PULSE4 Omega (input) -Factor # 3 0 71.6Y(T) = 398.36+[X1(T)][(+ 124.64 )]+[X2(T)][(+ 95.6389 )]+[X3(T)][(+ 71.6389 )]+ [A(T)]Section 6PLOT OF THE OBSERVED (ACTUAL) & THE FORECAST SERIESGRAPH KEYA = PromIEP4mF = FORECASTSDATE ++++++++++++++++++++++++++++++++++++++++++++++++++++++++1995/ 1 A 401.001995/ 2 A 394.001995/ 3 A 433.001996/ 1 A 433.001996/ 2 A 432.001996/ 3 A 382.001997/ 1 A 445.001997/ 2 A 398.001997/ 3 A 385.001998/ 1 A 391.001998/ 2 A 374.001998/ 3 A 370.001999/ 1 A 523.001999/ 2 A 413.001999/ 3 A 436.002000/ 1 A 397.002000/ 2 A 362.002000/ 3 A 396.00165
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