MAPE (mean absolute percentage error) Measures the accuracy of fitted time series values. It expresses accuracy as a percentage. MAD (mean absolute deviation) Measures the accuracy of fitted time series values. It expresses accuracy in the same units as the data, which helps conceptualize the amount of error MSD (mean squared deviation) Measures the accuracy of fitted time series values. MSD is always computed using the same denominator (the number of forecasts) regardless of the model, so you can compare MSD values across models and therefore you can compare the accuracy of two different models. The trend analysis procedure also displays, along with the graph, three measures to help you determine the accuracy of the fitted values: MAPE , MAD , and MSD . The three measures are not very informative by themselves, but they are used to compare the fits obtained by using different trend models. For all three measures, smaller values generally indicate a better fitting model.
The direction in which the trend analysis points.
Short term trend analysis refers to examining trends within the next 12 months. This will help the organization plan for short term goals.
analysis mean detailed examination of the elements or structure of something typically as a basis for discussion or interpretation
I presume you mean a mechanism that obeys a linear differential law. In practice, any real mechanism will show non-linear behaviour, but some may be regarded as essentially linear (this makes the analysis much easier!).
The mean absolute percent prediction error (MAPE), .The summation ignores observations where yt = 0.
Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.
You can compare forecasting methods by one of these methods: 1- MAD(mean absolute deviation) 2-MSE (mean square error) 3-MAPE(mean absolute percentage error) Notes: 1-MAD is the preferred method since it does not require squaring the errors and this is the only difference between MAD and MSE . 2-If you want to relate the error relative to the actual demand use MAPE that is because in MAPE you will divide the error by the actual demand.
a trend in math is a pattern or sequence.
a trend is a pattern or sequence
trend means something that keeps happening.
a pattern or sequence.
Contemporary trend is how the pattern of life, fashion, is changing at the moment.