Results 251 to 260 of about 395,466 (302)
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Randomization in a complete block design with few blocks
Journal of Statistical Planning and Inference, 1982Abstract It is known that the distributions of statistics commonly used in experimental design (notably the F statistic) involve certain nuisance parameters which depend on the model and the design. Raudomization was a technique introduced by R.A. Fisher to eliminate some of these parameter and produce a usable distribution function.
Wehrhahn, K. H., Ogawa, J.
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Randomized Complete Block Designs in Industrial Studies
Quality Engineering, 2002The competitive nature of business today requires the knowledge to be able to manipulate process levels in a predictable fashion to reduce process variation.
Doug Sanders +2 more
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Cluster analysis in a randomized complete block design
Communications in Statistics - Theory and Methods, 1985The mixture maximum likelihood approach to clustering is used to allocate treatments from a randomized complete block de-sign into relatively homogeneous groups. The implementation of this approach is straightforward for fixed but not random block effects. The density function in each underlying group is assumed to be normal and clustering is performed
Basford, KE, McLachlan, GJ
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Incomplete factorial experiments in completely randomized and randomized complete block designs
Statistics & Probability Letters, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Software package for analysis of completely randomized block design
Journal of the Nigerian Association of Mathematical Physics, 2008This study is to design and develop statistical software (package), OYSP1.0 which conveniently accommodates and analyzes large mass of data emanating from experimental designs, in particular, completely Randomized Block design. Visual Basic programming is used in the design.
Ojukwu, OI, Mbegbu, JI
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The Randomized Complete Block Design
2014If it is possible to group the experimental material or conditions in a manner such that the variation among experimental units within a group is less than the variation would have without grouping, this should be done in order to compare treatments on the less variable material or under less variable conditions.
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A modified Friedman test for randomized complete block designs
Communications in Statistics - Simulation and Computation, 2016AbstractThe Friedman test is often used for a randomized complete block design when the normality assumption is not satisfied or the data are ordinal. The Friedman test can be viewed as an extension of the sign test for multiple measurements within each subject or block.
Xu, Jianbo +5 more
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Relative Efficiency of the Randomized Complete Block Design
Experimental Agriculture, 1976SUMMARYThe efficiency of the randomized complete block design, relative to the completely randomized design, is linearly expressed as: Relative efficiency=A+CF, where A and C are constants determined by the number of treatments (t) and blocks (b) and F=calculated F value for blocks in the ANOVA table.
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A SAS Program for Analyzing Augmented Randomized Complete‐Block Designs
Crop Science, 1993The augmented design usually is useful for testing many genotypes in early generations when valid statistical analyses are needed with seed supplies too limited to permit replication. Practical use of this design necessitates computer data analysis. Researchers need an easy way to analyze augmented design data with minimal hand computations, and with ...
R. A. Scott, G. A. Milliken
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Analysis of binary data in the randomized complete block design
Communications in Statistics - Theory and Methods, 1985The technique proposed by Shah and Claypool (1984) is extended here for the randomized complete block design with one binary observation per cell. In addition, it provides an al- ternative derivation of the distribution of Cochran's Q sta- tistic which is straightforward.
Arvind K. Shah, P.L. Claypool
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