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Post Blocking Gone Too Far! Recovery of Information and Spatial Analysis in Field Experiments
Author(s) -
Gilmour Arthur R.
Publication year - 2000
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2000.944_1.x
Subject(s) - blocking (statistics) , biometrics , field (mathematics) , spatial analysis , variation (astronomy) , computer science , mathematics , statistics , algorithm , data mining , theoretical computer science , artificial intelligence , pure mathematics , physics , astrophysics
Summary. Federer (1998, Biometrics 54 , 471–481) presents two analyses of field data in which high‐order polynomials are fitted as random regressions to remove spatial variation. We challenge the justification of this approach and suggest some alternatives.