A Multi-Level Recurrence Equable Model

Through Multi-level recurrence iteration for historical samples of small-probability events,inducted sample numbers are progressively varied to win weight function. An equable statistical model is developed with this method. The model contained more information and converged faster. It overcomes the limitation of annual statistical model. This has obviously increased the capability in application of the objective forecasting model to the calamitous weather.

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