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- W2651036 abstract "Abstract Synopsis Persistence in streamflow time series is usually specified through correlation coefficients of order one and larger. These coefficients are calculated using the whole time series record. However, persistence effects are bound to be variable in different parts of the record. Consideration of small collections of successive data as distinct entities effectively incorporates persistence in analysis of data. This is the basic method involved in pattern analysis." @default.
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- W2651036 date "1982-01-01" @default.
- W2651036 modified "2023-09-26" @default.
- W2651036 title "Step Ahead Streamflow Forecasting Using Pattern Analysis" @default.
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- W2651036 doi "https://doi.org/10.1016/s0167-5648(08)70724-x" @default.
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