Module advanced_bootstrap 

Advanced bootstrap methods for complex statistical inference

This module provides sophisticated bootstrap resampling techniques that go beyond simple random sampling, including stratified bootstrap, block bootstrap for time series, and other specialized resampling methods for complex data structures.

Structs

AdvancedBootstrapConfig

Advanced bootstrap configuration

AdvancedBootstrapProcessor

Advanced bootstrap processor

AdvancedBootstrapResult

Bootstrap result with comprehensive statistics

BootstrapConfidenceIntervals

Bootstrap confidence intervals

BootstrapDiagnostics

Bootstrap diagnostics

BootstrapDistributionStats

Bootstrap distribution statistics

ConvergenceInfo

Convergence information

QualityMetrics

Quality metrics for bootstrap assessment

Enums

BlockType

Block bootstrap types for time series

BootstrapType

Bootstrap method types

ParametricBootstrapParams

Parametric bootstrap parameters

TaperFunction

Tapering functions for block bootstrap

WildDistribution

Wild bootstrap distributions

Functions

block_bootstrap

Convenience function for block bootstrap

circular_block_bootstrap

Convenience function for circular block bootstrap

moving_block_bootstrap

Convenience function for moving block bootstrap

stationary_bootstrap

Convenience function for stationary bootstrap

stratified_bootstrap

Convenience function for stratified bootstrap