Following two important results follows as a consequence of log-concavity: If {ν ≥ 1, p > 0, α > β} the ECOMP (v, p, α, β) distribution is ➢ a strongly unimodal distribution ➢ has an increasing failure rate function.
Following important results follows as a consequence of log-convexity: If {ν ≤ 1, p > 0, α = β} the ECOMP (v, p, α, β) distribution with pmf in (7) ➢ is Infinitely divisible (see Warde and Katti 1971) distribution, hence Discrete Compound Poisson distribution.
As a consequence of immigration, logging and the associated conversion of forest land into agricultural land, pressure on the Agta's hunting and fishing grounds has correspondingly increased.
However, the Maroon communities are facing increasing commercial and governmental influence both as a consequence of mining, logging and tourism development in their territory, and attraction of mainly young Maroons to the market economy.
A consequence of the log-log transformation is the linearity of the calibration curves for each of the three sub-studies.
Consequently, an increase in their obtained data rate results in higher SINR values as a consequence of the nature of function r i ⋅ log(1 + f i (γ i )) which is strictly increasing with respect to γ i, and therefore, the overall resulting satisfaction as perceived by the users, i.e., ( {U}_i^{NET} ), increases as well.
log k values are very low as a consequence of repulsion forces between negatively charged nucleotides and stationary phase surface (Fig. 3f).
This property will follow immediately as a consequence of part (a) in Proposition 3.10 (part (b) will be used in the preservation of log-convex densities).
Hence, bearing in mind (2), the log-likelihood function (LLF) for takes the form (5). As a consequence of the FDM property of the employed training sequences, we observe that is the null matrix for any.
However, the generalized log-logistic produced the most accurate estimates in terms of MSE, mostly as a consequence of smaller standard deviations of the estimates.
It is as a consequence of the relation (14) that the Pareto (III) distribution, with μ = 0, is sometimes called the log-logistic distribution.
