Random-effects analysis of balanced designs experiments
On balanced minimal repeated measurements designs
... Measurements designs are concerned with scientific experiments in which each experimental unit is assigned more than once to a treatment either different or ...of designs has the property that the ...
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On Nearly Balanced Designs for Sensory Trials
... All computations were done in R, version 1.8.1. Programm code for doing the analysis can be obtained from the authors. The data were generated by sampling 150 realizations, 5 for each of 30 virtual assessors, from ...
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Construction of Congruent Classes of Pairwise Balanced Designs using Lotto Designs
... of designs that are studied today were first considered in the context of mathematical puzzles or brain-teasers in the eighteenth and nineteenth ...and analysis of statistical experiments. ...
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On a new approach to the analysis of variance for experiments with orthogonal block structure. I. Experiments in proper block designs
... at random, and that for each block the order in which the treatments indicated by 1’s in the assigned column of N ∗ are then assigned to the plots of the block has also been chosen at ...
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Analysis of Spillover Effects in Randomized Experiments
... The statistics literature focuses almost exclusively on inference for finite popu- lations with fixed potential outcomes, in which all the randomness comes through the assignment mechanism. The super-population approach, ...
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Multi part balanced incomplete block designs
... and Analysis of Experiments in Healthcare held at the Isaac Newton Institute for Mathematical Sciences at Cambridge, UK in July ...optimal designs, which may give a benchmark for designs which ...
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On the importance of using balanced booklet designs in PISA
... the balanced booklet structure can cause substantial and relevant shifts in the estimated performance distribution at the level of subpopulations when position effects are present, which is typically the ...
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Statistical Analysis of Efficient Unbalanced Factorial Designs for Two-Color Microarray Experiments
... of random effects for modeling experimental ...statistical analysis as each of the 2+ aliquots per each pool would then be incorrectly counted as 2+ di fferent experimental ...
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Designs for generalized linear models with random block effects via information matrix approximations
... optimal designs for generalized linear mixed models is complicated by the fact that the Fisher information matrix, on which most optimality criteria depend, is computationally expensive to ...of experiments ...
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ON TWO METHODS OF ANALYSING BALANCED INCOMPLETE BLOCK DESIGNS
... of experiments and data analysis were discovered in the early part of the 20 th century as a cost effective research design tool to help improve yields in ...of designs experiments and ...
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Circular designs balanced for neighbours at distances one and two
... Neighbour-balanced designs always present a problem for ...treatment effects, the actual treatments should be randomized to the treatment labels in the combinatorial ...a random num- ber of ...
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Bias-corrected estimator for intraclass correlation coefficient in the balanced one-way random effects model
... one-way random effects analysis of variance model, although the method can be extended to provide bias-corrected estimators for other types of ...a balanced data setting, and we plan to investigate ...
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Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping
... Insert Figure 5 A question about our design might be: is the concentration of the simulation runs in the input range with high traffic rates caused by the high signal (E(y)) or the high noise (var(y)) (both the mean and ...
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On Variance Balanced Designs
... India Balanced incomplete block designs are not always possible to construct because of their parametric ...another balanced design, the variance balanced design, is ...variance ...
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Optimal response surface designs in the presence of random block effects.
... Like in Atkinson and Donev (1989), the starting design is improved by exchanging design points with candidate points. The resulting design is further improved by interchan- [r] ...
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Maximin Designs for Computer Experiments.
... In the second part of this thesis the focus lies on product design problems in which multiple black-box functions play a role, and on non-collapsing nested designs. Chapter 6 considers multi-component product ...
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Comparison of designs for computer experiments
... linear effects are expected to dominate, then a linear base model with extra terms up to third-degree monomials and a moderate runs-to-factors ratio should be ...nonlinear effects are anticipated, then it ...
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RANDOM EXPERIMENTS AND EVENTS
... 7. A ball is drawn at random from a box containing 6 red balls, 4 white balls and 5 blue balls. There will be how many sample points, in its sample space? 8. In a single rolling with two dice, write the sample ...
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Modeling Random Experiments
... a random variable is not a variable in the usual sense of the word “variable” in either mathematics or computer ...A random variable is simply an (extended) real-valued ...of random variables as ...a ...
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Design and analysis of experiments on random drift and inbreeding depression.
... Ne] where vp is the average observed additive genetic variance within lines over t time units of isolation. LANDE argued that, for a normal sampling distribution o[r] ...
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