Estimation of Location Difference for Fragmentary Samples.

Abstract

A class of simple and robust estimators of the difference between location parameters of correlated variables is proposed when some observations on either of the variables are missing. We show that these estimators are consistent, asymptotically normally distributed, and insensitive to outlying observations. Asymptotic relative efficiency comparisons with other known estimators are made to show the advantage of the proposed estimators. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA095869

Entities

People

  • L. J. Wei

Organizations

  • University of South Carolina

Tags

DTIC Thesaurus Topics

  • Air Force
  • Asymptotic Normality
  • Data Analysis
  • Data Science
  • Distribution Functions
  • Efficiency
  • Estimators
  • Information Science
  • New York
  • Nonparametric Statistics
  • Normal Distribution
  • Observation
  • Probability
  • South Carolina
  • Statistics
  • Students
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Statistical inference.