lognormal


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log·nor·mal

 (lôg-nôr′məl, lŏg-)
adj. Mathematics
Of, relating to, or being a logarithmic function with a normal distribution.

log′nor·mal′i·ty (-măl′ĭ-tē) n.
log·nor′mal·ly adv.

lognormal

(ˌlɒɡˈnɔːməl)
adj
(Mathematics) maths having a natural logarithm with normal distribution

log•nor•mal

(lɔgˈnɔr məl, lɒg-)
adj.
of, pertaining to, or designating a distribution of a random variable for which the logarithm of the variable has a normal distribution.
[1945]
log•nor′mal•ly, adv.
References in periodicals archive ?
En este grafico se muestra un ajuste lognormal a las volatilidades de los retornos de las series S&P 500, IPC y el IGBC, como el valor p asociado con el test de Kolmogorov Smirnov para una muestra, donde la distribucion hipotetica es la distribucion lognormal.
These short-term dissipation rates tend to follow a lognormal cumulative probability distribution (11), which means that longer-term average dissipation rates, <[epsilon]>, are given by
This kind of data can be inappropriately modeled by a skewed distribution such as a lognormal distribution.
In particular, the lognormal distribution is not in this class.
They cover statistical selection rationale, sampling recreational waters, the lognormal distribution and the use of the geometric mean and arithmetic mean in measurement, microbial risk assessment modeling, models for concentration-response relationships, "nowcasting," and statistical sensitivity analysis.
Today, however, this problem can be easily solved using the calculation capabilities of statistical software and our understanding of distributions that provide good models for most non-normal quality characteristics, such as the exponential, lognormal, and Weibull distributions.
However, if variations of the modelled parameter are non-symmetrical, lognormal or beta distribution would give a better approximation.
2], respectively, much lower than the estimates derived from the lognormal distribution used by the U.
Previous studies of mercury concentrations in soils by Sullivan (Sullivan, 2006) and Tack (Tack, 2005) have found that the distribution of concentration values follows a lognormal distribution.
Figure 2's positive skewness existed for all rate histograms and a lognormal distribution was found to be a better fit than a normal distribution.
Our analysis of the size distribution emphasizes fitting the data to the lognormal and Pareto distributions.
The lognormal distribution has the highest precision in fitting the histogram values, pointing out that collected fingerprints are most likely to be influenced by slow fading due to shadowing.