O

(redirected from Outliers)
Also found in: Dictionary, Thesaurus, Medical, Financial, Encyclopedia.
Category filter:
AcronymDefinition
OOh
OOutstanding
OOxygen
OOfficer (military)
OOperator (telephone)
OOctal
OOfficial
OOrganization
OOutdoor
OOrange
OOut (baseball)
OOperations
ONew Orleans, Louisiana (mint mark)
OOscar (aviation letter code)
OOutput
OOffensive (Catholic movie rating)
OOrgasm
OOrtho (Benzene)
OHug(s)
OOperational
OObserver
OOrganizational
OOrder of Magnitude (computer algorithms)
OOxide
OOtis (Redding)
OImmediate (logging abbreviation)
OOdin
OOhm
OOscar Robertson (former NBA player)
OOprah (magazine)
OOuest (French: west)
OOthello
OObservation (US military aircraft designation; as in O-1)
OOrthogonal (mathematics)
OObstacle (course)
ODefensive Team (sports/coaching)
OOmit
OOutliers
OOmikron (German: Omicron; 15th letter of the Greek alphabet)
OOberst (German)
OOver to You (radio communications)
OMorally Offensive (Catholic movie rating)
OOrigin Server (Internet)
OOrganized Naval Reserve (US Navy)
OOptional Levels (board test for high schoolers, UK)
OOfficer of Operations (US Navy)
OOhne Hauch (antigen)
OOst/Osten (German: East)
OMeasurement of Cloud Cover
OToy train railroad gauge (2 1/4 inch wide, originated in Germany)
Copyright 1988-2018 AcronymFinder.com, All rights reserved.
References in periodicals archive ?
The MM-estimators combine a high breakdown point, or the largest percentage of outliers in a sample that the estimator can handle without producing arbitrary results, with relatively high efficiency when compared to OLS.
Not only does this have an evident impact in overall levels of employee engagement, but it can also have the effect of reinforcing the efforts to engage those outliers anyway.
As "Outliers" argues, this constant churning--this trespassing of the borders of high and low, this teetering between the unknown and the famous--is essential to the dynamism of American art itself.
This result confirms the findings of Balke and Fomby (1994) and Darne and Diebolt (2004) that severe recessions can be associated with outliers.
The history of scholarship is filled with outliers. In fact, many of the greatest advances in knowledge have come from researchers who broke with the existing norms and conventions of scholarship.
LOF algorithm is able to detect outliers regardless the data distribution, since it does not make any assumptions about the distributions of data.
However, the least-squares criterion and Pearson's correlation are not robust to outliers. To achieve the robustness in estimation and select the informative predictors robustly, the authors propose replacing the least-squares criterion with MM-estimation [12] where the MM- estimators are efficient and have high breakdown points.
use stacked LSTM networks for outliers detection in time series.
The BACON algorithm [9] starts with a subset of observations of size m* that is supposedly free of outliers, and then it iteratively adds the observations that are consistent with the initial set.
Moreover, in the final stage of our analysis, we implement clustering for a dataset without outliers and check the influence of such objects on our clustering approaches.
The types of outliers are classified into two categories, (a) data point outliers and (b) pattern outliers.
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.