Censored Random Variable as a Form of Coping with Missing Data in Studying the Leachability of Heavy Metals from Hardening Slurries

Missing data in test result tables can significantly impact the analysis quality, especially in relation to technical sciences, where the mechanism generating missing data is often non-random, and their presence depends on the non-observed part of studied variables. In such cases, the application of...

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Bibliographic Details
Main Authors: Łukasz Szarek, Zbigniew Kledyński
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-03-01
Series:Archives of Civil Engineering
Subjects:
Online Access:https://journals.pan.pl/Content/119579/PDF/14.ACE-00119v.2_B5.pdf