Pages that link to "Item:Q1634985"
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The following pages link to Modeling and forecasting river flows by means of filtered Poisson processes (Q1634985):
Displaying 14 items.
- An application of filtered renewal processes in hydrology (Q275969) (← links)
- A univariate model for long-term streamflow forecasting. I: Development (Q806157) (← links)
- A runoff probability density prediction method based on B-spline quantile regression and kernel density estimation (Q823512) (← links)
- Using filtered Poisson processes to model a river flow (Q838219) (← links)
- Comparative analysis of three recursive real-time river flow forecasting models: Deterministic, stochastic, and coupled deterministic-stochastic (Q1114281) (← links)
- Comparison of non-Gaussian multicomponent and periodic autoregressive models for river flow (Q1205594) (← links)
- Modeling and forecasting the peak flows of a river (Q1432042) (← links)
- Streamflow simulation and skewness preservation based on the bootstrapped stochastic models (Q1767259) (← links)
- Derivation of streamflow statistics based on a filtered point process (Q1962763) (← links)
- Forecasting counting and time statistics of compound Cox processes: a focus on intensity phase type process, deletions and simultaneous events (Q2066496) (← links)
- A filtered renewal process as a model for a river flow (Q2565398) (← links)
- Non-negative time series models for dry river flow (Q3477851) (← links)
- (Q3525260) (← links)
- Causal modelling of heavy-tailed variables and confounders with application to river flow (Q6176331) (← links)
