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Missing Observations in Designed Experiments Revisited
Author(s) -
Kala Radosław
Publication year - 1998
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/(sici)1521-4036(199804)40:1<99::aid-bimj99>3.0.co;2-a
Subject(s) - missing data , computer science , statistics , econometrics , data mining , mathematics
Missing data in designed experiments always cause trouble. To overcome the difficulties, various methods have been developed within the last sixty years. In this note, interrelations between some approaches to the problem of missing observations are reconsidered in view of the etimability criteria.