Interval Estimation Using Replication/Deletion and MSER Truncation

Abstract

This paper addresses the construction of a consistent interval estimator for the steady-state mean within a replication/deletion framework for output analysis when MSER truncation is applied. Because the MSER truncation point is a random variable, the truncated output sequences for each replication typically are un-equal in length. A weighting scheme is applied to the replication means to correct for unequal sample sizes, as is standard in ANOVA. A numerical example is provided to illustrate the procedure and consequences.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA558451

Entities

People

  • K. P. White Jr.
  • Paul J. Sanchez

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Data Science
  • Electronics
  • Engineering
  • Engineers
  • Estimators
  • Information Science
  • Intervals
  • New Jersey
  • Observation
  • Operations Research
  • Random Variables
  • Simulations
  • Standards
  • Statistics
  • Steady State
  • Systems Engineering

Readers

  • Regression Analysis.