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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Communications in Statistics
Article . 1974 . Peer-reviewed
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A Blocking Strategy

A blocking strategy
Authors: C Tithayasai; D S Robson;

A Blocking Strategy

Abstract

We suppose that prior to partitioning a set of experimental units into experimental blocks of size t, each unit is classified with respect to k different binary variables or attributes. The 2k cells of this classification are then used as building blocks to form experimental blocks of t homogeneous experimental units.In our attempt to achieve within-block homogeneity we first order the 2⊃ cells in a sequence so that any two adjacent cells differwith respect to exactly one attribute. The contents of each cell are then partitioned into blocks and, where necessary, units from adjacent cells are combined to form blocks. In the ease of standardized quantitative variables which have been dichotomized at zero, a within-cell partition is based upon an ordering of the experimental units with respect to that particular quantitative variable which changes its sign in the next cell of the sequence.

Related Organizations
Keywords

Statistical block designs, Analysis of variance and covariance (ANOVA), Combinatorial aspects of block designs

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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