Skip to content
Statistics logo
  • Courses
    • See All Courses
    • Calendar
    • Intro stats for college credit
    • Faculty
    • Group training
    • Credit & Credentialing
    • Teach With Us
  • Programs/Degrees
    • Certificates
      • Analytics for Data Science
      • Biostatistics
      • Programming For Data Science – Python (Experienced)
      • Programming For Data Science – Python (Novice)
      • Programming For Data Science – R (Experienced)
      • Programming For Data Science – R (Novice)
      • Social Science
    • Skillsets
      • Bayesian Statistics
      • Business Analytics
      • Healthcare Analytics
      • Marketing Analytics
      • Operations Research
      • Predictive Analytics
      • Python Analytics
      • R Programming Analytics
      • Rasch & IRT
      • Spatial Statistics
      • Survey Analysis
      • Text Mining Analytics
    • Undergraduate Degree Programs
    • Graduate Degree Programs
  • Partnerships
    • Higher Education
    • Enterprise
  • Resources
    • About Us
    • Blog
    • Word Of The Week
    • Newsletter signup
    • Glossary
    • Statistical Symbols
    • FAQs & Knowledge Base
    • Testimonials
    • Test Yourself
  • Student Login

Asymptotic Efficiency

Asymptotic Efficiency:

For an unbiased estimator, asymptotic efficiency is the limit of its efficiency as the sample size tends to infinity. An estimator with asymptotic efficiency 1.0 is said to be an "asymptotically efficient estimator". Roughly speaking, the precision of an asymptotically efficient estimator tends to the theoretical limit as the sample size grows.

Asymptotic efficiency of an estimator depends on the population. For one sort of populations (distributions) an estimator may be asymptotically efficient, for others - not asymptotically efficient.

Among known estimators, the number of asymptotically efficient estimators is much greater than the number of efficient estimators.

Note: asymptotic efficiency (of an estimator) should not be confused with asymptotic relative efficiency (of two estimators).

See also: Efficiency, Cramer - Rao Inequality

Browse Other Glossary Entries

Courses Using This Term

Return to Glossary Search

About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

Our Links

  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team
Menu
  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team

Social Networks

Linkedin-in Twitter Facebook-f Youtube

Contact

The Institute for Statistics Education
2107 Wilson Blvd
Suite 850 
Arlington, VA 22201
(571) 281-8817

ourcourses@statistics.com

  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team

© Copyright 2022 - Statistics.com, LLC | All Rights Reserved | Privacy Policy | Terms of Use

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.

Accept