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Missing Values in Experiments Analysed on Automatic Computers
Author(s) -
Healy Michael,
Westmacott Michael
Publication year - 1956
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2985421
Subject(s) - statistics , missing data , computer science , econometrics , mathematics , data mining
Mr Healy and Mr Westmacott describe a general technique for dealing with observations missing from block experiments analysed on automatic computers. When more than one observation is missing the technique is simpler than other methods hitherto described and has been proved in practice to be satisfactorily fast. It is applicable to any analysis in which least‐squares estimates are derived.