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We obtain a more flexible estimation procedure giving better estimates particularly when the auxiliary information is overly abundant or not fully appropriate to be completely used.
Further, a flexible estimation technique that can jointly utilize temporal and view correlations to generate side information is proposed in [15].
Thus, the more flexible estimation procedure (such as the non-parametric estimation of Yatchew 1997, explained in Income distribution effects Section) allows to test the validity of this assumption, permitting for an estimation of an Engel curve shift that may differ at different income levels.
The result of this more flexible estimation procedure, shown in Figs. 5 and 6, confirms that, in fact, the biases are dramatically different across income levels, being much larger at lower income levels, as shown by the much larger movement in the curve at the lower part of the scale.
The approach developed in this study can be effectively applied for making macro-level decisions on seismic retrofit through flexible estimation of the seismic damage and fragility of arbitrarily selected structures in a given class because the simulation is performed not with a number of time history nonlinear dynamic analyses but with simple numerical equations.
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The logical articulation of the analysis is flexible; two specific estimation schemes (the estimation of ad hoc unit parameters for the external costs and ad hoc approach for using GLC as proxies of users' surplus in a scenario where the introduction of the innovative service modifies the modal split of freight transport between different solutions) can be applied to other territorial contexts.
Our approach also allows for flexible modeling and estimation of allele effects, as well as for missing parental data.
This paper presents a sensorless estimation algorithm for estimating flexible system parameters, dynamics and externally applied forces or torques due to system interaction with the environment.
In the current work we consider state estimation for flexible, tip-steerable needle insertions.
A new fast algorithm for block-based motion estimation, the flexible triangle search (FTS) algorithm, is presented.
It is not only so that the hypotheses are more flexible, but also the estimation is more complicated in comparison to [26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com