bivariate distribution


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bivariate distribution

[bī¦ver·ē·ət ‚dis·trə′byü·shən]
(statistics)
The joint distribution of a pair of variates for continuous or discontinuous data.
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4) One of the novel features in BH is the introduction of a bivariate distribution based on the Pareto lognormal for the joint distribution of initial human capital and learning ability.
We identified the PON1 Q192R phenotype of each of the sera from the bivariate distribution plot of PXN and AE activities and the PXN/AE ratio (Fig.
For even more detailed polyolefin analysis, the interplay of molecular and chemical composition can be examined with the Cross-Fractionation Chromatograph (CFC) instrument, which combines Temperature Rising Elution Fractionation (TREF) and GPC to provide highly detailed 3-D bivariate distribution analysis.
In this context, the most general random fibre model would require the knowledge of the bivariate distribution of R and L, f (r, l).
The bivariate distribution function of two independent extreme action effects may be presented as their conventional joint distribution function with the mean [E.
Accordingly, the 84 entries in this bivariate distribution indicate both the specific administrative task and the primary data analysis procedure (intent) for each of the 482 cards in the data set.
Kowalezuk, Bivariate distribution in copolymers: A new model, J.
Exhibit 10 illustrates the joint bivariate distribution of two underlying asset pools, together with their marginal distributions.
As the estimation of the selectivity variables involves bivariate distribution functions, the double selection approach in the present context may be considered as a bivariate selectivity approach (Sorensen, 1989).
For each bivariate distribution Personian product-moment correlation coefficients (r's) were calculated along with tests of their statistical significance.
4] and TSH, and therefore the reference limits derived from the bivariate distribution for each parameter are mutually dependent.