Low-income indicators are computed using the Foster et al. (1984) class of indices (FGT) based on a low-income threshold (measure) equal to fifty percent of the median adjusted net income.
Of the class of indexes that meets the same restriction, it is preferable to choose the index that requires the least selection intensity because it is easier to achieve the selection goal with the use of an index that requires a lower selection intensity than a higher selection intensity.
The sensitivity of relative measures has led to a search for the class of indices that yield either identical or consistent findings irrespective of the choice between health attainments and shortfalls (Erreygers, 2009; Lambert and Zheng, 2011).
In heuristic methods, field observation and expert's knowledge are used to identify landslides, make a prior assumption about past and future landslide movements on the site, assign weighted values for the classes of index maps and overlay them to produce a landslide susceptibility map.
Characterization results have been obtained, which identify classes of indices satisfying particular lists of axioms.
We now propose two more members of the class of Harary indices, the second Harary index and the third Harary index, which are as follows: H 1 ( G ) = ∑ v i, v j ∈ V ( G ), i ≠ j 1 d G ( v i, v j ) + 1. and H 2 ( G ) = ∑ v i, v j ∈ V ( G ), i ≠ j 1 d G ( v i, v j ) + 2, where the summation goes over all unordered pairs of the vertices of G.
Nineteen children attended the class of the index case.
In the elementary class of the index case, a cluster occurred.
From 20th May to 1st June, two further cases of pertussis were identified in children attending the same class of the index case.
Further structural results for the classes of finite index functions and strongD-functions are also given.
