Estimation in Large Samples

Abstract

Three problem areas were identified and studied: nonparametric estimation with truncated data; asymptotic expansions for randomly stopped sums (with a view towards finding corrected confidence intervals in sequential problems); and asymptotic local minimaxity in sequential estimation. In addition, some effort was devoted to understanding optimal sequential designs. The final report contains complete results of the research. Keywords: Sampling; Estimation; Truncated data; Asymptotic expansions; Confidence intervals; Optimal sequential designs.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA201459

Entities

People

  • Michael Woodroofe

Organizations

  • University of Michigan

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Asymptotic Series
  • Clinical Trials
  • Data Science
  • Decision Theory
  • Distribution Functions
  • Estimators
  • Information Science
  • Markov Processes
  • Probability
  • Random Variables
  • Sequential Analysis
  • Statistical Decision Theory
  • Statistics
  • Students
  • Theses

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design