A review of bootstrap methods for survey sampling

Key Points

• Bootstrap methods enhance statistical inference by reducing bias in survey sampling.
• The effectiveness of bootstrap methods was particularly noted in variance estimation and confidence intervals.
• Observational analysis across various applications shows improved efficiency in survey sampling outcomes.
• Support for bootstrap methods indicates their potential to change how researchers handle statistical challenges.