What is the estimate of the standard deviation of forecast error for the moving average model?...
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What is the estimate of the standard deviation of forecast error for the moving average model? 11 2 3 Period 4 1 5 2 6 3 7 0 9 10 11 13 A CASUNEXSHCHENKEN ORANGNG ◄669BSREPRES 5 10 11. 12 13 14 15 16 1234567 SRFARHEE 10 11 12 13 14 8 15 С MOVING AVERAGE Demand Level Forecast 78 16 28885883858 22 Alpha- 23 Period Demand 0 73 89 99 89 81 106 EXPONENTIAL SMOOTHING 0.3 111 105 97 96 228885SES&S 78 89 89 106 83 P 105 97 96 D 92.3 84.8 92.3 87.5 84.8 89.5 87.5 93.8 89.5 89.8 95.3 1013 99.0 93.8 89.8 95.3 101.3 Level Forecast 92.3 88.0 92.3 83.5 88.0 85.1 83.5 89.3 85.1 89.3 89.2 86.7 89.2 86.7 92.5 89.7 96.1 98.7 98.2 97.6 98.2 92.5 89.7 96.1 98.7 E F G انه 3 4 -19 7 -17 -15 -2 5 E₁ 14 -6 -14 0 NNNJOO 8 -19 10 H -21 -9 A₁ 2 3 ANGALGAE 19 7 17 15 2 5 121.2 Estimate of standard deviation of forecast error: کے P 14 HEERLESSIONN 15 14 8 19 1 21 bias 2 31252883 -5 -22 d ERRORS MSE MAD bias -38 156.5 -39 134.6 -34 10.6 12.3 3.5 122.3 8.5 102.3 1413 -13 -22 MSE 203.1 29 213.7 24 10 10 MMBBa 3.3 5085055E 8.0 18 -1 155.4 10,9 9 147.3 10.7 1816 119 171.4 116 -20 156.1 10.7 -18 143.5 10.0 Estimate of standard deviation of forecast error: 9.9 10.8 9.5 8.9 ERRORS MAD 14.3 14.6 152.6 116 222222RFERR 162.5 12.2 130.0 9.8 119.6 9.5 Percent Error 3,7 4.6 17.5 7.8 15.5 14.5 18 5.5 Percent Error 18.3 20.5 6.2 14.0 0.3 10.1 18.2 115 19.2 8.5 18 23 Figure 2. Moving Average and Exponential Smoothing Models with Error Analysis M MAPE METTrrrr wwwwwwww 3.7 1.00 3.7 2.00 -135 3.7 -0.63 -2.26 -349 -4.15 -3.80 3.7 3.7 3.7 3.7 MAPE 18.3 19.4 N 13.1 12.7 TS 11.7 10.9 TS 15.0 14.7 11.9 11.6 193 12.5 -0.08 12.4 0.80 100 2.00 2,05 0.81 104 -1.07 -186 -186 -177 What is the estimate of the standard deviation of forecast error for the moving average model? 11 2 3 Period 4 1 5 2 6 3 7 0 9 10 11 13 A CASUNEXSHCHENKEN ORANGNG ◄669BSREPRES 5 10 11. 12 13 14 15 16 1234567 SRFARHEE 10 11 12 13 14 8 15 С MOVING AVERAGE Demand Level Forecast 78 16 28885883858 22 Alpha- 23 Period Demand 0 73 89 99 89 81 106 EXPONENTIAL SMOOTHING 0.3 111 105 97 96 228885SES&S 78 89 89 106 83 P 105 97 96 D 92.3 84.8 92.3 87.5 84.8 89.5 87.5 93.8 89.5 89.8 95.3 1013 99.0 93.8 89.8 95.3 101.3 Level Forecast 92.3 88.0 92.3 83.5 88.0 85.1 83.5 89.3 85.1 89.3 89.2 86.7 89.2 86.7 92.5 89.7 96.1 98.7 98.2 97.6 98.2 92.5 89.7 96.1 98.7 E F G انه 3 4 -19 7 -17 -15 -2 5 E₁ 14 -6 -14 0 NNNJOO 8 -19 10 H -21 -9 A₁ 2 3 ANGALGAE 19 7 17 15 2 5 121.2 Estimate of standard deviation of forecast error: کے P 14 HEERLESSIONN 15 14 8 19 1 21 bias 2 31252883 -5 -22 d ERRORS MSE MAD bias -38 156.5 -39 134.6 -34 10.6 12.3 3.5 122.3 8.5 102.3 1413 -13 -22 MSE 203.1 29 213.7 24 10 10 MMBBa 3.3 5085055E 8.0 18 -1 155.4 10,9 9 147.3 10.7 1816 119 171.4 116 -20 156.1 10.7 -18 143.5 10.0 Estimate of standard deviation of forecast error: 9.9 10.8 9.5 8.9 ERRORS MAD 14.3 14.6 152.6 116 222222RFERR 162.5 12.2 130.0 9.8 119.6 9.5 Percent Error 3,7 4.6 17.5 7.8 15.5 14.5 18 5.5 Percent Error 18.3 20.5 6.2 14.0 0.3 10.1 18.2 115 19.2 8.5 18 23 Figure 2. Moving Average and Exponential Smoothing Models with Error Analysis M MAPE METTrrrr wwwwwwww 3.7 1.00 3.7 2.00 -135 3.7 -0.63 -2.26 -349 -4.15 -3.80 3.7 3.7 3.7 3.7 MAPE 18.3 19.4 N 13.1 12.7 TS 11.7 10.9 TS 15.0 14.7 11.9 11.6 193 12.5 -0.08 12.4 0.80 100 2.00 2,05 0.81 104 -1.07 -186 -186 -177
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Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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