Hodges–Lehmann estimator
Hodges–Lehmann estimator - brief summary
<html><link rel="canonical" href="https://wikimd.com/wiki/Hodges%E2%80%93Lehmann+estimator"> <meta name=”viewport” content=”width=device-width, initial-scale=1″> </html>
In statistics, the Hodges–Lehmann estimator is a robust and nonparametric estimator of a population's location parameter. For populations that are symmetric about one median, such as the (Gaussian) normal distribution or the Student t-distribution, the Hodges–Lehmann estimator is a consistent and median-unbiased estimate of the population median. For non-symmetric populations, the Hodges–Lehmann estimator estimates the pseudo–median, which is closely related to the population median.
| This article is a stub. You can help WikiMD by registering to expand it. |
Medical Disclaimer: WikiMD is for informational purposes only and is not a substitute for professional medical advice. Content may be inaccurate or outdated and should not be used for diagnosis or treatment. Always consult your healthcare provider for medical decisions. Verify information with trusted sources such as CDC.gov and NIH.gov. By using this site, you agree that WikiMD is not liable for any outcomes related to its content. See full disclaimer.
Credits:Most images are courtesy of Wikimedia commons, and templates, categories Wikipedia, licensed under CC BY SA or similar.
Translate this page: - East Asian
中文,
日本,
한국어,
South Asian
हिन्दी,
தமிழ்,
తెలుగు,
Urdu,
ಕನ್ನಡ,
Southeast Asian
Indonesian,
Vietnamese,
Thai,
မြန်မာဘာသာ,
বাংলা
European
español,
Deutsch,
français,
Greek,
português do Brasil,
polski,
română,
русский,
Nederlands,
norsk,
svenska,
suomi,
Italian
Middle Eastern & African
عربى,
Turkish,
Persian,
Hebrew,
Afrikaans,
isiZulu,
Kiswahili,
Other
Bulgarian,
Hungarian,
Czech,
Swedish,
മലയാളം,
मराठी,
ਪੰਜਾਬੀ,
ગુજરાતી,
Portuguese,
Ukrainian
