A Review of Sequential Analysis

Abstract

The majority of statistical analyses involves observing a fixed set of data and analyzing those data after the final observation has been collected to draw some inference about the population from which they came. Unlike these traditional methods, sequential analysis is concerned with situations for which the number, pattern, or composition of the data is not determined at the start of the investigation but instead depends upon the information acquired throughout the course of the investigation. Expanding the use of sequential analysis in DoD testing has the potential to save substantial test dollars and decrease test time. In this paper, we review the sequential analysis literature as a first step in providing a recommendation for its use in DoD test and evaluation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2020
Accession Number
AD1184407

Entities

People

  • Heather M. Wojton
  • John W. Dennis
  • Keyla Pagan-rivera
  • Leonard D. Wilkins
  • Rebecca M. Medlin

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Weapons
  • Computational Science
  • Data Mining
  • Data Science
  • Department Of Defense
  • Experimental Design
  • Information Science
  • Knowledge Management
  • Mathematical Filters
  • Operations Research
  • Second World War
  • Sequential Analysis
  • Statistical Analysis
  • Surveys
  • Systems Engineering
  • Test And Evaluation
  • Test Methods

Readers

  • Defense Acquisition Program Management
  • Parallel and Distributed Computing.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference