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According to Formula (10), variation of the time correlation indicator is described as Δq t = q t − q t ′: Delta {q}_t=frac{sum limits_{i=1}^nleft(sum limits_{t=1}^{v_i^{hbox{f}_tleft(Xleft i,tright)right -sum limits_{t=1}^{v_i}{f}_tleft(Xleft(i,tright -sumt)right)}{N}, (15)in which q t and q t ′ are independent to each other and satisfy the binomialimitsribution respectively.
Similar(59)
The reasons that motivated the selection and categorisation of each indicator are described and the proposed system is compared with other existing indicator systems.
The calculations for each indicator are described below.
The patterns of each Health and Health related indicator were described numerically and graphically.
The risk factors in each indicator are described in Table 1.
Each indicator was described in terms of numerator, denominator, target population, exclusion criteria, definition of terms involved, sources of data and bibliography [ 42].
It is conceivable that an indicator was described by a specific statistic such as a median because of an underlying non-normal distribution, in order to permit sound statistical inference.
As an example of rather thoroughly studied material fluxes the issue of influence of the landscape spatial structure and water quality indicators is described in more detail.
The methodology for the design of the four ensemble resource indicators is described and the results of applying those indicators are demonstrated for assessment of the regional and national exploitable groundwater resources of Denmark.
A new class of oxygen indicators is described.
The updating of the mixture indicators is described in [ 26].
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