Our services for you:
- Early perception of critical situations,
- Statistical proof of the effectiveness of actions concerning the improvement of critical situations,
- Identification of a trend reversal,
- Adjustment concerning overlapping influences.
We evaluate, analyze and prepare your data according to your requirements or provide efficient algorithms for trend assessments, which go far beyond standard software packages. Taking into consideration that no formal standards exist for the performance of trend analysis, QuoData uses its own customized methods to go above and beyond the recommended guidelines.
Application areas include are environmental, chemical and economic data. In the past we analyzed trend data for the KLIWAS Project, part of the Federal Office for hydrology (BfG), to measure the impact of climate change on the Elbe River. We also worked with the Dutch Institute for Costal and Marine Managment (RIKZ) in advanced environmental trend analyses.
Time series analysis: Quo data applies methods of time series analysis in order to describe time series statistically. Of special interest is often the question to which extent random effects and systematical effects determine the trend and the variability of the data.
Statistical trend test: A statistical trend test serves to know and to be sure that it is possible to proceed from a statistically secured trend. If it is not the case, nothing contradicts the hypothesis that, for the observed fluctuations, these fortuitous modifications are not caused by a systematic tendency.
Test on trend reversal: A statistical test on trend reversal is required to examine whether a significant reverse of the trend (upward-downward or downward-upward) can be stated with e.g. 95 % confidence. Otherwise it can be concluded that any changes of the trend are caused by random effects.
Test on break in trend: A statistical test on break in trend is required to examine whether a significant break in the trend curve can be stated with 95 % confidence. The break could be a sudden change of the slope or a jump in the trend curve.
Multivariate trend analysis: Trends are more often than not accompanied by other trends of other variables. Quo data developed methods in order to identify these trend patterns in multidimensional datasets.