Tian, F. et al. Evaluating temporal consistency of long-term global NDVI datasets for trend analysis.
The Rayleigh optical depth calculations are compared with the Elterman's model calculations for trend analysis purpose.
Forecasters commonly work for trend analysis firms like the Donegar Group, WGSN and Stylesight, or retailers like Macy's and J. C. Penney.
Furthermore, the trained network is successfully and much more rapidly used for trend analysis purposes to investigate the effect of various input parameters.
When interpreting the results of this analysis, one should take into account, however, that the climate data used in this study, and particularly its length, is not fully suitable for trend analysis.
Most of the earlier research used simple conceptual and statistical approaches for trend analysis and water balance estimations, mainly using rainfall and evapotranspiration data.
The results also revealed that the Şen trend test could be successfully used for trend analysis of water parameters especially in terms of evaluation of low, medium and high values of data.
In order to capture hidden and upcoming trends of product demand, the algorithm combines three different models: decision tree for large-scale data, discrete choice analysis for demand modeling, and automatic time series forecasting for trend analysis.
The nonparametric Mann Kendall test is performed for trend analysis and outcomes investigated for the presence of clusters of trend across different grid cells the analysis is conducted over.
For trend analysis, a Generalized Estimating Equations (GEE) were used.
This RTS is further used for trend analysis of different clusters.
