Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Winsorizing"'
Publikováno v:
Jurnal Natural, Vol 22, Iss 2, Pp 108-116 (2022)
Many researchers conduct research using the classification method, to find out the best method for predicting the class of an observation. Some of these studies explain that random forest is the best method. However, the classification of data contai
Externí odkaz:
https://doaj.org/article/77681da21c4648cfa782d2fc89debb94
Autor:
Thomas, G. E.
Publikováno v:
Journal of the Royal Statistical Society. Series D (The Statistician), 2000 Jan 01. 49(1), 63-77.
Externí odkaz:
https://www.jstor.org/stable/2681256
Detection of Outliers and Imputing of Missing Values for Water Quality UV-VIS Absorbance Time Series
Publikováno v:
Ingeniería, Vol 22, Iss 1, Pp 09-22 (2017)
Context: The UV-Vis absorbance collection using online optical captors for water quality detection may yield outliers and/or missing values. Therefore, data pre-processing is a necessary pre-requisite to monitoring data processing. Thus, the aim of t
Externí odkaz:
https://doaj.org/article/1a6ff9eb984447f1a84c04f06f24cf67
Autor:
Shorack, Galen R.
Publikováno v:
The Annals of Statistics, 1996 Jun 01. 24(3), 1371-1385.
Externí odkaz:
https://www.jstor.org/stable/2242599
Publikováno v:
Journal of Business Research. 132:530-543
Recent research in leading business journals has varied widely in how statistical outliers are identified and handled; many techniques were reported. But most articles with empirical data have not mentioned outliers; many others simply referred to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5a5d4086c538b8dce6c664dc6881a50
https://doi.org/10.1016/j.jbusres.2021.03.066
https://doi.org/10.1016/j.jbusres.2021.03.066
Autor:
José Dias Curto
Publikováno v:
Computational Economics. 60:755-779
The common way to deal with outliers in empirical Economics and Finance is to delete them, either by trimming or winsorizing, or by computing statistics robust to outliers. However, due to their importance, there are situations where the exclusion of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b344f897d99026de3ffa99e43bddf85
https://doi.org/10.1007/s10614-021-10165-y
https://doi.org/10.1007/s10614-021-10165-y
Akademický článek
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Publikováno v:
Financial Management. 48:345-384
Outliers represent a fundamental challenge in the empirical finance research. We investigate whether the routine techniques used in finance research to identify and treat outliers are appropriate for the data structures we observe in practice. Specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7874730a88c95f1bb6081c73809ae9f
https://doi.org/10.1111/fima.12269
https://doi.org/10.1111/fima.12269
Autor:
Luke Plonsky, Christopher Nicklin
Publikováno v:
Annual Review of Applied Linguistics. 40:26-55
Data from self-paced reading (SPR) tasks are routinely checked for statistical outliers (Marsden, Thompson, & Plonsky, 2018). Such data points can be handled in a variety of ways (e.g., trimming, data transformation), each of which may influence stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec0dcf83b84ec20082373dcf78ce7ed
https://doi.org/10.1017/s0267190520000057
https://doi.org/10.1017/s0267190520000057