Results 261 to 270 of about 501,153 (319)
Incomplete block designs for genetic testing: statistical efficiencies of estimating family means
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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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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22 Block designs: Their combinatorial and statistical properties
Publisher Summary This chapter discusses the combinatorial and statistical properties of block designs. The theory of discrete designs is intimately related to many other areas of combinatorial theory. Block designs have opened up many interesting and challenging problems in combinatorial mathematics. The fundamental problems related to block designs,
Tadeusz Caliński, Sanpei Kageyama
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A STATISTICAL TEST FOR RANKING DATA FROM PARTIALLY BALANCED INCOMPLETE BLOCK DESIGNS
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.
D. J. Best +2 more
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Some Statistical Properties of Nested Block Designs
Nested block designs in a wide sense are newly discussed from a statistical point of view. Some statistical properties of such designs are presented with some constructions. The corresponding properties of the usual nested block designs in the literature are included as a special case.
Stanisław Mejza, Sanpei Kageyama
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ABSTRACTThe usual Durbin analysis for ranked data obtained from a balanced incomplete block design is extended to allow for (1) dispersion effects, (2) a predetermined ordering of products and (3) more general trends. An application to paired comparison data is given. Calculation of p‐values via Monte Carlo simulation is suggested.
D. J. Best, J. C. W. Rayner
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On the Use of a Friedman-Type Statistic in Balanced and Unbalanced Block Designs
Distribution-free tests and multiple comparison procedures are considered for randomized block designs. A general Friedman-type statistic is defined that is usable in almost any block design with arbitrary missing data structure. For balanced incomplete block designs a multiple comparison procedure and exact tables are given for a statistic equivalent ...
John H. Skillings, Gregory A. Mack
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STATISTICAL DESIGN—Factorial Experiments in Incomplete Block Designs
W. S. Connor
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STATISTICAL INFERENCE IN INCOMPLETE BLOCKS DESIGNS
Madan L. Puri, Harold D. Shane
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Bahadur Efficiency of Observational Block Designs
Journal of the American Statistical Association, 2023To be convincing, an observational or nonrandomized study of causal effects must demonstrate that its conclusions cannot be readily explained by a small unmeasured bias in the way individuals were assigned to treatment or control.
P. Rosenbaum
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