temperature and precipitation are among important atmospheric parameters for watershed planning. assessment of temperature and precipitation trends is very important for future watershed planning. in this paper, trends of atmospheric parameters such as seasonal and annual temperature and precipitation were examined for the synoptic stations of bandar anzali, rasht, ramsar, babolsar and gorgan. ...

based on 11 years of topex/poseidon satellite altimetry and coastal tide gauge sea level observations, four tidal constituents, namely o1, k1, m2 and s2, are modeled for the persian gulf and oman sea using a time-wise approach according to the following details. by selecting the cycle 100 as the reference, 772 points on 12 paths along the track of the altimetry satellite footprints over the per...

the paper presents unified analytical solution for combining high-frequency and low-frequency economic time-series by additive and proportional denton methods with parametrical dependence on the initial values of variable and indicator in evident form. this solution spans denton’s original and cholette’s advanced benchmarking initial conditions as the subcases. computational complexity of the o...

data with high frequency have a particular type of none stationary that is called fractional none stationary. this property causes the emergence of long-term memory in financial time series with high frequency. the existence of long-term memory in cement industry time-series is studied in this paper at first and its presence will be confirmed in a high confidence level by two tests r/s and gph....

Extended Abstract. Forecasting is one of the most important purposes of time series analysis. For many years, classical methods were used for this aim. But these methods do not give good performance results for real time series due to non-linearity and non-stationarity of these data sets. On one hand, most of real world time series data display a time-varying second order structure. On th...

Spectral analysis considers the problem of determining (the art of recovering) the spectral content (i.e., the distribution of power over frequency) of a stationary time series from a finite set of measurements, by means of either nonparametric or parametric techniques. This paper introduces the spectral analysis problem, motivates the definition of power spectral density functions, and reviews...