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1. One that lives or is located outside or at the edge of a given area: outliers of the forest standing in the field.
2. One that exists outside or at an extreme of a category, pattern, or expectation; an extreme case or exception: "those egg-laying outliers of mammaldom, the duck-billed platypus and the anteating echidna" (Natalie Angier).
3. A value far from most others in a set of data: "Outliers make statistical analyses difficult" (Harvey Motulsky).
4. A portion of stratified rock separated from a main formation by erosion.


1. (Geological Science) an outcrop of rocks that is entirely surrounded by older rocks
2. a person, thing, or part situated away from a main or related body
3. a person who lives away from his place of work, duty, etc
4. (Statistics) statistics a point in a sample widely separated from the main cluster of points in the sample. See scatter diagram


(ˈaʊtˌlaɪ ər)

1. a person residing away from a business, duty, etc.
2. Geol. a part of a formation left detached through the removal of surrounding parts by erosion.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.outlier - a person who lives away from his place of work
occupant, occupier, resident - someone who lives at a particular place for a prolonged period or who was born there
2.outlier - an extreme deviation from the mean
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
deviation - the difference between an observed value and the expected value of a variable or function
valeur anormale
References in classic literature ?
The hills are of a remarkable form; they consist of flat patches of table-land, surrounded by low perpendicular cliffs, like the outliers of a sedimentary deposit.
Eat," said Akela, rising up from the meat Mowgli had brought him, and the Outlier flung himself on it.
Thou art indeed an Outlier," Mowgli called back; "but we will speak when the dholes are dead.
It was Won-tolla, the Outlier, and he said never a word, but continued his horrible sport beside the dholes.
Shifting from his probabilistic thinking on priors and probability, he focuses on outliers and how they contribute greatly to shifts in medical and scientific research.
Unlike other outlier detect method (such as the traditional AR model detection method), the outliers detect method proposed in this paper does not need to set the detection threshold.
It works on the premise that many outliers are unaware they are an outlier, no one wants to be an outlier, and confidential, collegial education and peer mentoring within a medical specialty society can reduce unnecessary variations in care.
Non-aggregated data that contains outliers raises serious concerns in data privacy.
When outliers are present in the data, REML and ML estimates can be adversely impacted (Pinheiro, Liu, and Wu, 2001).
In this paper the related theory of detecting outliers, methods and algorithms are studied, and made a numerical simulation is verified.
Yang (1997, 2001) proposed a Robust Kalman Filtering (RKF) algorithm based on innovation vectors, and an equivalent weight matrix structure with outliers.
They supplement SDEA with assumptions on the efficiency and show that the true frontier in the presence of outliers can be derived.