Second Order Corrections of the Sequential Bootstrap

Abstract

Rao, Pathak and Koltchinskii (1997) have recently studied a sequential approach to resampling in which resampling is carried out sequentially one-by-one (with replacement each time) until the bootstrap sample contains m approximately equal to (1 - e(exp -1)n approximately equal to .632n distinct observations from the original sample. They have established that the main empirical characteristics of the sequential bootstrap go through, in the sense of being within a distance of order O(n(exp -3/4)) from those of the usual bootstrap. However, the theoretical justification of the second order correctness of the sequential bootstrap is somewhat involved. It is the main topic of this investigation. Among other things, we accomplish it by approximating our sequential scheme by a resampling scheme based on the Poisson distribution with mean mu = 1 and censored at X = 0.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1998
Accession Number
ADA358193

Entities

People

  • Calyampudi Radhakrishna Rao
  • Gutti J. Babu
  • P. K. Pathak

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Asymptotic Series
  • Classification
  • Distribution Functions
  • Mathematics
  • Multivariate Analysis
  • Normal Distribution
  • Observation
  • Probability
  • Random Variables
  • Sampling
  • Security
  • Sequences
  • Statistical Samples
  • Statistical Sampling
  • Statistics
  • Theorems
  • United States Government

Fields of Study

  • Mathematics

Readers

  • Statistical inference.