Time-Series Intervention Analysis Using ITSACORR: Fatal Flaws

Time-Series Intervention Analysis Using ITSACORR: Fatal Flaws

Time Series Intervention Analysis Using Sas® Software

Time series intervent.ion analysis is used to ascertain the impact that one or more interventions have on a time series. For example, the t.ime series may be monthly revenues from the sale of n product with t,he int.ervention being the implementation of a new marketing strategy. Using the ARIMA procedure in SASjETS@ soft.ware, a large class of time series models are available to pel'form a t.im...

Tidal prediction using time series analysis of Buoy observations

Although tidal observations which are extracted from coastal tide gages, have higher accuracy due to their higher sampling rate, installing these types of gages can impose some spatial limitation since we cannot use every part of sea to install them. To solve this limitation, we can employ satellite altimetry observations. However, satellite altimetry observations have lower sampling rate. Acco...

Residual analysis using Fourier series transform in Fuzzy time series model

In this paper, we propose a new residual analysis method using Fourier series transform into fuzzy time series model for improving the forecasting performance. This hybrid model takes advantage of the high predictable power of fuzzy time series model and Fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...

Members’ Discoveries: Fatal flaws in cancer research