2.2.3.4.2 Algorithm for Trend Analysis

$y_t=intercept + slope \times t$

$y_t=intercept + B_1 \times t + B_2 \times t^2$

$y_t= B_0 \times B_1^t$

$y_t= \frac{1}{B_0+ B_1 \times B_2^t}$

Mean absolute percentage error: $MAPE = \sum_{t=1}^{n}\frac{|(y_t - \hat{y}_t)/y_t|}{n}$

Mean absolute deviation : $MAD = \sum_{t=1}^{n}\frac{|y_t - \hat{y}_t|}{n}$

Mean squared deviation : $MSD = \sum_{t=1}^{n}\frac{|y_t - \hat{y}_t|^2}{n}$

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