This study aims at probabilistic and stochastic seasonal characteristics of time seriesof runoff in order to obtain useful statistical inforinations. The outlines of the resultsobtained are as follows:(1) The periodicity of a year of time series of runoff can he found out remarkably bytaking a suitable unit duration for sampling.(2) By analyzing the, it is to say, moving stochastic parameters of such a duration withrespect to the time series of daily ruoff, it is found that there are seasons and districtsin which the auto-regressive process is to be considered or is not.(3) Practically, the seasonal division of the time series of runoff in a year is possibleby the time-point in which the time series obtained by moving average of a year cros...
It is generally supposed that the global warming will result in increasing of the hydrological pheno...
[1] Derived flood frequency models can be used to study climate and land use change effects on the f...
This report is an accompanying material of the paper “A stochastic methodology for generation of sea...
Three aspects of stochastic analysis and modeling of hydrologic time series are investigated in this...
"The statistical and phenomenological aspects of the runoff process observed on different scales of ...
The seasonal variation in rainfall - runoff response is investigated for about 300 small watersheds ...
The traditional literature on seasonality has mainly focused attention on various statistical proced...
Stochastic models in conventional time series analysis are mainly based on three key assumptions: st...
To solve many problems such as estimation of average monthly river inflow, it is necessary to consid...
[[abstract]]In hydrologic time series analysis, the seasonal component is estimated by using average...
This paper examines the success of various Markov-chain models of daily precipitation series in repr...
The interpretation of seasonality in terms of economic behavior depends on the form of the econometr...
Rainfall data are generally required in computer simulations of rainfall-runoff processes, crop grow...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
textabstractThis book considers periodic time series models for seasonal data, characterized by para...
It is generally supposed that the global warming will result in increasing of the hydrological pheno...
[1] Derived flood frequency models can be used to study climate and land use change effects on the f...
This report is an accompanying material of the paper “A stochastic methodology for generation of sea...
Three aspects of stochastic analysis and modeling of hydrologic time series are investigated in this...
"The statistical and phenomenological aspects of the runoff process observed on different scales of ...
The seasonal variation in rainfall - runoff response is investigated for about 300 small watersheds ...
The traditional literature on seasonality has mainly focused attention on various statistical proced...
Stochastic models in conventional time series analysis are mainly based on three key assumptions: st...
To solve many problems such as estimation of average monthly river inflow, it is necessary to consid...
[[abstract]]In hydrologic time series analysis, the seasonal component is estimated by using average...
This paper examines the success of various Markov-chain models of daily precipitation series in repr...
The interpretation of seasonality in terms of economic behavior depends on the form of the econometr...
Rainfall data are generally required in computer simulations of rainfall-runoff processes, crop grow...
This chapter reviews the principal methods used by researchers when forecasting seasonal time series...
textabstractThis book considers periodic time series models for seasonal data, characterized by para...
It is generally supposed that the global warming will result in increasing of the hydrological pheno...
[1] Derived flood frequency models can be used to study climate and land use change effects on the f...
This report is an accompanying material of the paper “A stochastic methodology for generation of sea...