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WeightWatchers Calculator £9.50 The Plan Calculator is designed around the ProPoints System. Th Unique software has been developed for you, to make the program easier. Its compact design means its ideal to keep in your pocket or handbag…. |
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Geotechnical Engineering: Principles and Practices of Soil Mechanics and Foundation Engineering (Civil and Environmental Engineering) £25.33 Illustrates soil characteristic concepts with examples that detail practical considerations. This title covers the designs for drilled pier foundations and mechanically stabilized retaining walls. It explores an approach for predicting the nonlinear behavior of laterally loaded long vertical and batter piles…. |
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Formulas and tables to facilitate the calculation of recombination values in heredity (Hilgardia) … |
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Formulas and Tables to Facilitate the Calculation of Recombination Values in Heredity … |
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The Little Book of Value Investing (Unabridged) $13.09 The Little Book of Value Investing offers investors (professional and amateur alike) the necessary tools to follow a value-investment model that consistently beats the market…. |
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The Little Book That Builds Wealth: Morningstar’s Formula for Finding Great Investments $20.99 All highly profitable firms attract competitors, and only firms that are able to keep competition at bay will earn above average profits for an extended period of time…. |
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The Success Formula $5.66 Mike Le Put tells you exactly how you can apply the Success Formula to become an outstanding achiever in your chosen field…. |
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Symmetric Mean Absolute Percentage Error $52.8 Used – High Quality Content by WIKIPEDIA articles! Symmetric mean absolute percentage error (SMAPE or sMAPE) is an accuracy measure based on percentage (or relative) errors. It is usually defined as follows: The absolute difference between At and Ft is divided by half the sum of the actual value At and the forecast value Ft. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n. The earliest reference to this formula appears to be Arm |
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Symmetric Mean Absolute Percentage Error $30.24 Used – High Quality Content by WIKIPEDIA articles! Symmetric mean absolute percentage error (SMAPE or sMAPE) is an accuracy measure based on percentage (or relative) errors. It is usually defined as follows: The absolute difference between At and Ft is divided by half the sum of the actual value At and the forecast value Ft. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n. The earliest reference to this formula appears to be Arm |
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Symmetric Mean Absolute Percentage Error $52.8 New – High Quality Content by WIKIPEDIA articles! Symmetric mean absolute percentage error (SMAPE or sMAPE) is an accuracy measure based on percentage (or relative) errors. It is usually defined as follows: The absolute difference between At and Ft is divided by half the sum of the actual value At and the forecast value Ft. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n. The earliest reference to this formula appears to be Arms |
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Symmetric Mean Absolute Percentage Error $52.8 Used – High Quality Content by WIKIPEDIA articles! Symmetric mean absolute percentage error (SMAPE or sMAPE) is an accuracy measure based on percentage (or relative) errors. It is usually defined as follows: The absolute difference between At and Ft is divided by half the sum of the actual value At and the forecast value Ft. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n. The earliest reference to this formula appears to be Arm |
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Symmetric Mean Absolute Percentage Error $39.05 New – High Quality Content by WIKIPEDIA articles! Symmetric mean absolute percentage error (SMAPE or sMAPE) is an accuracy measure based on percentage (or relative) errors. It is usually defined as follows: The absolute difference between At and Ft is divided by half the sum of the actual value At and the forecast value Ft. The value of this calculation is summed for every fitted point t and divided again by the number of fitted points n. The earliest reference to this formula appears to be Arms |
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