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23. Statistical characteristics of event related and block design datasets

Clinical Neurophysiology, 2014
Introduction In this work we characterize functional magnetic resonance imaging (fMRI) data from event related and block design studies with typical values of several parameters. We use signal to noise ratio (SNR), percent signal change (PSC) and statistical parametric maps, estimated by SPM8 toolbox (beta, con and t-statistic maps).
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Incomplete block designs for genetic testing: statistical efficiencies of estimating family means

Canadian Journal of Forest Research, 1998
A half-sib progeny trial with single-tree plots on one test site of various environmental variations is simulated to examine the relative statistical efficiencies of randomized incomplete block designs (ICBs) over their corresponding randomized complete block design (RCB) in estimating family means. The ICBs with full constraint (FC), half constraint (
Yong-Bi Fu   +3 more
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A statistical evaluation of replicated block designs and spatial variability in sorghum performance trials

Journal of Crop Improvement, 2019
Success of hybrid performance trials has always been susceptible to the efficiency at which the experimental design can remove any effect of spatial autocorrelation associated with environmental fa...
N. Ace Pugh   +5 more
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A STATISTICAL TEST FOR RANKING DATA FROM PARTIALLY BALANCED INCOMPLETE BLOCK DESIGNS

Journal of Sensory Studies, 2011
ABSTRACTThe analysis of partially balanced incomplete block (PBIB) ranked data is discussed. Two examples are given to illustrate two alternative approaches. Analysis of PBIB ranking data is not covered in any of the standard sensory evaluation texts and this expository note is meant to help fill this gap.
Best, Donald John   +2 more
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Window design for overlapped block motion compensation through statistical motion modeling

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136), 2002
This paper presents an analysis of the block-decimated motion estimates and relates them to the underlying motion random field. It further parameterizes the scene intensity random field and the motion random field in terms of their correlation properties.
null Bo Tao, M.T. Orchard
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Computing Probabilties for Rank Statistics Used with Block Design Nonparametric Subset Selection Rules

American Journal of Mathematical and Management Sciences, 2021
This article addresses the issue of computing an implementation constant required to apply a nonparametric subset selection procedure.
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Minimal sufficient statistics for incomplete block designs with interaction under an Eisenhart model III

Journal of Statistical Planning and Inference, 1988
Abstract The purpose of this paper is to derive minimal sufficient statistics for the balanced incomplete block design and the group divisible partially balanced incomplete block design when the Eisenhart Model III (mixed model) is assumed. The results are identical to Hultquist and Graybill's (1965) and Hirotsu's (1965) for the same model without ...
Kapadia, C. H.   +2 more
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Adaptively combining independent jonckheere statistics in a randomized block design with unequal scales

Communications in Statistics - Theory and Methods, 1978
Jonckheere (1954) proposed a test statistic which is commonly used in testing for ordered alternatives in block designs.- We consider the application of Jonckheere's test statistic in block designs which have unequal scale parameters for the blocks.
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On the asymptotic distribution of a class of aligned rank order test statistics in randomized block designs

Canadian Journal of Statistics, 1980
AbstractIn the present investigation, the unconditional asymptotic distribution of a class of aligned rank order test statistics for randomized block designs is derived under the null hypothesis and for nearby alternatives, as the number of blocks tends to infinity.
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Multiple Comparisons Based on Studentized M -Statistics in a Randomized Block Design

Communications in Statistics - Theory and Methods, 2010
In a randomized block design, robust versions based on scale-invariant M-statistics are proposed for single-step multiple comparisons procedures discussed by Tukey (1953) and Dunnett (1955). Although the symmetry of the underlying distribution is needed in the asymptotic theory of Huber's M-estimators, the proposed procedures do not demand the symmetry.
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