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    • Univariate Volatility Models
    • Bootstrapping
      • Examples
      • Confidence Interval Construction
      • Parameter Covariance Estimation
      • Low-level Interface
      • Semiparametric Bootstraps
      • Parametric Bootstraps
      • Independent, Identical Distributed Data (i.i.d.)
      • Independent Samples
      • Bootstraps for Time-series Data
        • arch.bootstrap.StationaryBootstrap
          • Carch.bootstrap.StationaryBootstrap
            • arch.bootstrap.StationaryBootstrap.apply
            • arch.bootstrap.StationaryBootstrap.bootstrap
            • arch.bootstrap.StationaryBootstrap.clone
            • arch.bootstrap.StationaryBootstrap.conf_int
            • arch.bootstrap.StationaryBootstrap.cov
            • arch.bootstrap.StationaryBootstrap.get_state
            • arch.bootstrap.StationaryBootstrap.reset
            • arch.bootstrap.StationaryBootstrap.seed
              • MStationaryBootstrap.seed
                • Parameters
                  • pvalue
            • arch.bootstrap.StationaryBootstrap.set_state
            • arch.bootstrap.StationaryBootstrap.update_indices
            • arch.bootstrap.StationaryBootstrap.var
            • arch.bootstrap.StationaryBootstrap.generator
            • arch.bootstrap.StationaryBootstrap.index
            • arch.bootstrap.StationaryBootstrap.random_state
            • arch.bootstrap.StationaryBootstrap.state
        • arch.bootstrap.CircularBlockBootstrap
        • arch.bootstrap.MovingBlockBootstrap
        • arch.bootstrap.optimal_block_length
      • Background and References
    • Multiple Comparison Problems
    • Unit Root Testing
    • Cointegration Analysis
    • Long-run Covariance Estimation
    • API Reference
    • Common Type Definitions
    • Change Log
    • MStationaryBootstrap.seed
      • Parameters
        • pvalue

    arch.bootstrap.StationaryBootstrap.seed¶

    StationaryBootstrap.seed(value: int | list[int] | ndarray[Any, dtype[uint32]]) → None¶

    Reseeds the bootstrap’s random number generator

    Parameters:¶
    value: int | list[int] | ndarray[Any, dtype[uint32]]¶

    Value to use as the seed.

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    © Copyright 2021, Kevin Sheppard.
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