Study on Time Series Analysis of Some Hydrological Variables(1)

Exploratory Spectral Analysis of Hydrological Time Series

Current methods of estimation of the univariate spectral density are reviewed and some improvements are suggested. It is suggested that spectral analysis may perhaps be best thought of as another exploratory data analysis (EDA) tool which complements rather than competes with the popular ARIMA model building approach. A new diagnostic check for ARMA model adequacy based on the nonparametric spe...

a time-series analysis of the demand for life insurance in iran

با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند

Multivariate flexible least squares analysis of hydrological time series

Abstract Models with coefficients which change with time can be developed by using Kalman filter techniques and these have been applied to model river flow, rainfall and other hydrological time series. However, application of Kalman filter techniques requires assumptions about the statistics of processes and state variables which may depend on unknown factors, and these assumptions may not be v...

Ordinal Pattern Dependence between hydrological time series

Interpolating time series based on fuzzy cluster analysis problem

This study proposes the model for interpolating time series to use them  to forecast effectively for future. This model is established based on the improved fuzzy clustering analysis problem, which is implemented by the Matlab procedure. The proposed model is illustrated by a data set and tested for many other datasets, especially for 3003 series in  M3-Competition data. Comparing  to the exist...