For crop production it is desirable for the mapping between genotype and phenotype to be consistent, such that an optimized genotype produces uniform sets of individual plants. Uniformity is strongly selected in breeding programs, usually automatically, as harvest equipment eliminates severely non-uniform individuals. Uniformity is genetically controlled, is known to be increased by interplant ...

The congruence coefficient was first introduced by Burt (1948) under the name of unadjusted correlation as a measure of the similarity of two factorial configurations. The name congruence coefficient was later tailored by Tucker (1951, see also Harman, 1976). The congruence coefficient is also sometimes called a monotonicity coefficient (Borg & Groenen, 1997, p. 203). The congruence coefficient...

In cite{Kats84}, Katsaras introduced a method for constructing a Hu-tton $[0,1]$-quasi-uniformity from a crisp uniformity. In this paper we present other different methods for making this based mainly in the concept of a fuzzy uniform structure. Furthermore, we prove that some of these methods preserve the completeness property of the quasi-uniformity.  Moreover, we also show that Katsaras' con...

To determine the optimal fertilizer discharging performance, a spiral applicator was designed according to orchard agricultural requirements. The influence of different parameter combinations speed, blade diameter, and pitch on coefficient variation (CV) discharge uniformity predicted using neural-network-based model by Box–Behnken design (BBD) test. According extracted results, neural network ...

The aim of this work is to introduce a novel statistical technique for quantifying the concentration field uniformity liquid-liquid mixing process within micro-scale chaotic pipeline. For illustration, microscale mixer in which inlet direction parallel unit designed by using pipeline with Baker map. Meanwhile, non-uniformity coefficient method adopted quantificationally instead qualitatively es...

The congruence between two configurations of points quantifies their similarity. The configurations to be compared are, in general, produced by factor analytic methods which decompose an “observations by variables” data matrix and produce one set of factor scores for the observations and one set of factor scores (i.e., the “loadings”) for the variables. The congruence between two sets of factor...

II. STUDY DESIGN AND METHODOLOGY ..........................................430 A. Content Analysis.......................................................................431 B. Primer on the Doctrine of Equivalents.....................................432 C. Database Construction ............................................................435 D. Measurement Criteria..................................

In the first part, we introduce randomized algorithms as a new notion of efficient algorithms for decision problems. We classify randomized algorithms according to their error probabilities, and define appropriate complexity classes. (RP, coRP, ZPP, BPP, PP). We discuss which classes are realistic proposals for design of probabilistic algorithms. We cover the implementation of randomized algori...

1. Uniformity and correlation 1 1.