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A comparison of equally spaced designs with different correlation structures in one and more dimensions
Author(s) -
Herzberg Agnes M.,
Huda S.
Publication year - 1981
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3314613
Subject(s) - mathematics , variance (accounting) , measure (data warehouse) , correlation , statistics , polynomial , computer science , mathematical analysis , geometry , data mining , accounting , business
Abstract Equally spaced designs are compared using the generalized variance as a measure of efficiency. Results for polynomial models are derived on the increased efficiency arising from increasing the number of design points when the regions are fixed and when the regions are expanded. The effects of dependence among the observations on these results are studied by considering a particular family of stationary correlated error structures.