Ver/Abrir - Repositorio Digital - Instituto Politécnico Nacional
Ver/Abrir - Repositorio Digital - Instituto Politécnico Nacional Ver/Abrir - Repositorio Digital - Instituto Politécnico Nacional
Model Parameters Model Parameters Current_Model: PARMA(0,2) Current_Model: PARMA(0,2) For Site(s): 3 For Site(s): 4 Model Fitted To: Mean Subtracted Data Model Fitted To: Mean Subtracted Data MEAN_AND_VARIANCE: MEAN_AND_VARIANCE: Season Mean Variance AICC SIC Season Mean Variance AICC SIC 1 1.59221 1.49582 51.657 51.731 1 0.341977 0.501937 12.871 12.945 2 1.97217 1.6861 54.805 54.879 2 1.88722 0.701698 21.388 21.462 3 2.16222 2.43743 56.288 56.362 3 2.94642 0.409924 8.732 8.806 4 3.63052 0.9362 34.261 34.335 4 3.20435 0.888556 34.25 34.324 5 5.4263 0.08188 -45.987 -45.912 5 5.28732 0.149746 -22.921 -22.847 6 6.07297 0.08541 -39.965 -39.89 6 6.50264 0.0795254 -42.586 -42.511 7 -0.000854 0.98434 36.231 36.305 7 5.60634 0.10673 -33.006 -32.932 8 5.79215 0.12277 -35.059 -34.984 8 6.38052 0.0951391 -39.229 -39.155 9 7.65215 0.00213 -162.966 -162.892 9 6922.93 1.03E+07 547.937 548.011 10 4.98799 0.23044 -10.437 -10.362 10 5.03644 0.208395 -12.995 -12.921 11 2.70089 1.01045 36.194 36.268 11 0.002122 0.981303 35.052 35.127 12 1.38079 2.24217 49.313 49.388 12 2.43119 0.313204 1.63 1.705
Model Parameters Model Parameters Current_Model: PARMA(0,3) Current_Model: PARMA(0,3) For Site(s): 1 For Site(s): 2 Model Fitted To: Mean Subtracted Data Model Fitted To: Mean Subtracted Data MEAN_AND_VARIANCE: MEAN_AND_VARIANCE: Season Mean Variance AICC SIC Season Mean Variance AICC SIC 1 9.63125 198.61 201.044 201.96 1 1.34437 6.59843 96.171 97.087 2 1.84128 2.47184 68.629 69.545 2 2.85425 2.09538 54.39 55.305 3 1.55379 3.51168 80.764 81.68 3 2.36384 4.32514 86.936 87.852 4 3.7301 0.477176 8.592 9.508 4 3.42073 2.25254 59.589 60.505 5 5.47578 0.068149 -44.872 -43.956 5 6.81442 0.022757 -83.793 -82.878 6 2.38E-05 0.99901 40.544 41.46 6 -0.00023223 0.9938 40.165 41.081 7 917.458 148344 418.268 419.183 7 7.44435 0.0103763 -114.692 -113.776 8 6.25772 0.042544 -61.055 -60.139 8 6.54136 0.0953482 -45.938 -45.022 9 8293.25 1.38E+07 559.73 560.646 9 7373.77 1.07E+07 543.507 544.423 10 4.9187 0.253594 -4.313 -3.397 10 6.55179 0.0496784 -58.427 -57.512 11 2.36008 0.958568 39.583 40.499 11 -0.00031939 1.0001 37.962 38.877 12 -0.680622 7.9437 95.543 96.459 12 3.13001 2.03397 59.415 60.331
- Page 77 and 78: Figura 5.4 Estadísticas mensuales
- Page 79 and 80: De los dos modelos paramétricos di
- Page 81 and 82: 5.4 Evaluación del Modelo La figur
- Page 83 and 84: Figura 5.12 Comparación estadísti
- Page 85 and 86: Las figuras 5.14 y 5.15 muestran la
- Page 87 and 88: 5.6 Evaluación de los escurrimient
- Page 89 and 90: escurrimientos sintéticos, los cau
- Page 91 and 92: La Figura 5.24 muestra los valores
- Page 93 and 94: La Figura 5.27 muestra los valores
- Page 95 and 96: 5.6.4 Análisis de resultados A con
- Page 97 and 98: CONCLUSIONES Y RECOMENDACIONES. Ant
- Page 99 and 100: Bibliografía y Anexos. • Branson
- Page 101 and 102: AFORO GLOSARIO Aforar una corriente
- Page 103 and 104: ANEXOS
- Page 105 and 106: Estación La Hamaca ANEXO 2 AÑO 19
- Page 107 and 108: Estación Sta. María Xanadí AÑO
- Page 109 and 110: Estación San Mateo Río Hondo AÑO
- Page 111 and 112: Estación Pluma Hidalgo AÑO ENE FE
- Page 113 and 114: Model Parameters Model Parameters C
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Model Parameters Model Parameters<br />
Current_Model: PARMA(0,3) Current_Model: PARMA(0,3)<br />
For Site(s): 1 For Site(s): 2<br />
Model Fitted To: Mean Subtracted Data Model Fitted To: Mean Subtracted Data<br />
MEAN_AND_VARIANCE: MEAN_AND_VARIANCE:<br />
Season Mean Variance AICC SIC Season Mean Variance AICC SIC<br />
1 9.63125 198.61 201.044 201.96 1 1.34437 6.59843 96.171 97.087<br />
2 1.84128 2.47184 68.629 69.545 2 2.85425 2.09538 54.39 55.305<br />
3 1.55379 3.51168 80.764 81.68 3 2.36384 4.32514 86.936 87.852<br />
4 3.7301 0.477176 8.592 9.508 4 3.42073 2.25254 59.589 60.505<br />
5 5.47578 0.068149 -44.872 -43.956 5 6.81442 0.022757 -83.793 -82.878<br />
6 2.38E-05 0.99901 40.544 41.46 6 -0.00023223 0.9938 40.165 41.081<br />
7 917.458 148344 418.268 419.183 7 7.44435 0.0103763 -114.692 -113.776<br />
8 6.25772 0.042544 -61.055 -60.139 8 6.54136 0.0953482 -45.938 -45.022<br />
9 8293.25 1.38E+07 559.73 560.646 9 7373.77 1.07E+07 543.507 544.423<br />
10 4.9187 0.253594 -4.313 -3.397 10 6.55179 0.0496784 -58.427 -57.512<br />
11 2.36008 0.958568 39.583 40.499 11 -0.00031939 1.0001 37.962 38.877<br />
12 -0.680622 7.9437 95.543 96.459 12 3.13001 2.03397 59.415 60.331
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