Here you will find one or more explanations in English for the word Outlier.
Also in the bottom left of the page several parts of wikipedia pages related to the word Outlier and, of course, Outlier synonyms and on the right images related to the word Outlier.
Outlier
Outlier Out"li`er, n.
1. One who does not live where his office, or business, or
estate, is. --Bentley.
2. That which lies, or is, away from the main body.
3. (Geol.) A part of a rock or stratum lying without, or
beyond, the main body, from which it has been separated by
denudation.
Meaning of Outlier from wikipedia
- In statistics, an
outlier is a data
point that
differs significantly from
other observations. An
outlier may be due to a
variability in the measurement...
- Look up
outlier in Wiktionary, the free dictionary.
Outlier is a
statistical term.
Outlier or
outliers can also
refer to:
Outlier (album), by
Twelve Foot...
-
Outliers: The
Story of
Success is a non-fiction book
written by
Malcolm Gladwell and
published by Little,
Brown and
Company on
November 18, 2008. In Outliers...
-
series Gen:Lock,
which he also co-produces
through his
production company,
Outlier Society Productions since January 2019.
Jordan portra****
attorney Bryan...
- In
anomaly detection, the
local outlier factor (LOF) is an
algorithm proposed by
Markus M. Breunig, Hans-Peter Kriegel,
Raymond T. Ng and Jörg Sander...
-
Polynesian outliers are a
number of
culturally Polynesian societies that
geographically lie
outside the main
region of
Polynesian influence,
known as the...
- The Samoic–
Outlier languages, also
known as
Samoic languages, are a
purported group of
Polynesian languages, encomp****ing the
Polynesian languages of...
-
Hogback Outlier is an
Ancestral Puebloan outlier community located 50
miles (80 km)
northwest of
Chaco Culture National Historical Park, New Mexico. The...
- In data analysis,
anomaly detection (also
referred to as
outlier detection and
sometimes as
novelty detection) is
generally understood to be the identification...
-
squares estimates for
regression models are
highly sensitive to
outliers: an
outlier with
twice the
error magnitude of a
typical observation contributes...
