Universal Linear Fit Identification: A Method Independent of Data, Outliers and Noise Distribution Model and Free of Missing or Removed Data Imputation

Titel:: Universal Linear Fit Identification: A Method Independent of Data, Outliers and Noise Distribution Model and Free of Missing or Removed Data Imputation
Autor(en):: Adikaram, K. K. L. B.; Hussein, M. A.; Effenberger, M.; Becker, T.
Zeitschriftentitel:: PLOS ONE
Jahr:: 2015
Band / Volume:: 10
Heft / Issue:: 11
Seitenangaben Beitrag:: e0141486
Volltext / DOI:: doi:10.1371/journal.pone.0141486
Verlag / Institution:: Public Library of Science (PLoS)
E-ISSN:: 1932-6203
Publikationsdatum:: 16.11.2015
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