Note that some non-parametric de-trending methods can be rationalised as parametric ones.
First-differencing is also used as a de-trending procedure.
WeatherBook offers statistical de-trending
tools allowing users to view the full range of pricing scenarios, and provides flexible P&L reporting capabilities for easy integration with financial software packages.
Even whilst avoiding the most obvious of these pitfalls it must immediately be obvious that the objective of precision in dating will be compromised by the smoothing involved in the de-trending
a time series is a controversial aspect of the business cycle study because it implies transforming data and some scholars believe this is a manipulation of pure data.
All available data were used for the preliminary de-trending of the imbalances indicators.
Admittedly, de-trending the data exacerbates the end-point problem and thus worsens the real-time performance of the model.
Some may argue that our de-trending
method artificially creates a negative relationship between GDP and government spending (GOV) because GDP may have been below the trend and GOV may have been above the trend for most of the GFC period.
Topics include a means for comprehensive analysis of the effect of microarray data preprocessing methods on differentially expressed transcript selection, differentiation detection in microarray normalization, spatial de-trending
and normalization methods for two-channel DNA and protein microarray data, a survey of cDNA microarray normalization, technical variations in modeling the joint expression of several genes, analysis for certain data normalization, and array-based analysis for the detection of chromosomal aberrations and copy number variations.
The ABP results are implicitly forecasting future values of actual GDP prior to de-trending
(using an IMA(2,2) model).
12 are estimated coefficients from de-trending
and deseasonalizing the observed total OECD petroleum inventory.
AIRWeather's reconstructed data involves de-shifting and de-trending
the cleaned daily minimum and maximum temperature time series to remove data inconsistencies due to factors unrelated to weather.