Most of the observed time series are composed of unobserved trends, cycles, seasonal and irregular components. Seasonality, as one of these components, is defined as repeated fluctuations that take place monthly, half-yearly or quarterly periods within a year and these fluctuations noise the time series in point of whether the changes in a certain time period is real or not. Therefore, the seasonality existing in time series can be removed by prediction and extraction of seasonal component. In this study, the seasonal structure of Household Labor Force Statistics (one of the most important statistics produced by Turkish Statistical Institute) is determined; and the most widely used methods TRAMO/SEATS and X-12-ARIMA is applied and results are compared.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Ulusal
Benzer Makaleler | Yazar | # |
---|
Makale | Yazar | # |
---|