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Experimental design matters for statistical analysis: how to handle blocking
Pest Management Science, 2017AbstractBACKGROUNDNowadays, evaluation of the effects of pesticides often relies on experimental designs that involve multiple concentrations of the pesticide of interest or multiple pesticides at specific comparable concentrations and, possibly, secondary factors of interest.
Signe M Jensen +3 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), 2002This 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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Some Statistical Properties of Nested Block Designs
1998Nested 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.
S. Mejza, S. Kageyama
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General Block Designs and Their Statistical Properties
2000According to one of the basic principles of experimental design, the randomiza-tion principle (see Section 1.1), the experimental units (plots) are to be random-ized before they enter the experiment. Suppose that to apply a general block design, in the sense of Section 2.2, randomization is performed as described by Nelder (1954), i.e., by randomly ...
Tadeusz Caliński, Sanpei Kageyama
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22 Block designs: Their combinatorial and statistical properties
1996Publisher 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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Incomplete block designs for genetic testing: statistical efficiencies of estimating family means
Canadian Journal of Forest Research, 1998A 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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Studentized robust statistics in multivariate randomized block design
Journal of Nonparametric Statistics, 1998Multiresponse experiments in randomized block design are considered. Statistical procedures of the test and estimation, based on studentized robust statistics, for location parameters in the models are proposed. Large sample properties of their procedures as the number of blocks tends to infinity are investigated.
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Some Simple Statistics to Test Against Ordered Alternatives in Complete Block Designs
Biometrical Journal, 1984AbstractConsider testing the hypothesis of no treatment effects against a postulated ranking of the m treatments, given data from n Complete Blocks. A suitable test statistic is the weighted average rank correlation w = σbQiCi where Ci is the correlation between the postulated ranking and the ranking observed within the ith block, Qi is the rank of the
I. A. Salama, Dana Quade
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Incomplete Block Designs for Genetic Testing: Statistical Efficiencies with Missing Observations
Forest Science, 1999Abstract Missing observations are common in forest genetic field trials and are expected to reduce statistical efficiencies of any applied field designs. Such reductions could lower the presumed efficiency and other benefits of implementing any incomplete block designs (ICBs).
Yong-Bi Fu +3 more
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A Comparison among Combination-Based Permutation Statistics for Randomized Complete Block Design
Communications in Statistics - Simulation and Computation, 2012It is well known that a best permutation test for all population distributions P does not generally exist, because the most powerful unbiased permutation test is a function of the population distribution P which is assumed to be unknown (Pesarin and Salmaso, 2010).
ARBORETTI GIANCRISTOFARO, ROSA +2 more
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