Sentence examples for order dominance from inspiring English sources

If however the two poverty incidence curves cross each other, we may look at the second or third order dominance using the FGT curves for α = 1 (low-income gap) and α = 2 (severity of low-income 33. low-income 33cumulative distribution curve.

This scenario is appraised here with some illustrative examples, and with some interesting problems of inference on stochastic ordering (dominance) in parametric as well as beyond parametric setups.

This assumption and those for higher-order dominance are less likely to be true for managers than the concavity assumption for second-order dominance, and understanding their practical significance is more difficult.

Extending the comparison of 1 and 5 hours of searching (Fig. 5) to second-order dominance reveals that the integrals of the cumulative distribution functions cross (Fig. 6), showing that the options of searching for 1 hour and 5 hours cannot be separated using second-order stochastic dominance.

In descending order of dominance, dominant species were the White-fronted Goose (Anser albifrons), White-naped Crane (Grus vipio), Mallard (Anas platyrhynchos), Red-crowned Crane (Grus japonensis), Rustic Bunting (Emberiza rustica), and Cinereous Vulture (Aegypus monachus).

As David Held puts it: "We need an emphasis on multilateralism and common rules, not hegemony and order through dominance".

The order of dominance of fluoride in various lithologies is as follows.

Additionally, the Second Order Stochastic Dominance (SOSD) methodology is used to compare the dispersion of adoption in the states.

We first study the effect of a First Order Stochastic Dominance shift of the out-degree distribution, and then analyze the effect of a Mean Preserving Spread.

Note that first order stochastic dominance implies that migrants with higher prospects have a higher expected wage gap: E P h ( D w ) ≥ E P l ( D w ).

When posteriors satisfy two dimensional versions of the standard First Order Stochastic Dominance and Concavity/Convexity of the Distribution Function conditions, a first-order approach is justified.