# lognormally

## 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.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

## lognormally

(ˌlɒɡˈnɔːməlɪ)
adv
(Mathematics) maths in the manner of having a having a natural logarithm with normal distribution
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
References in periodicals archive ?
analyzed mouse, rat and dog data and found out that the NOAELs ratios were lognormally distributed.
Specifically, whereas the approximate approach assumes the BMD is distributed lognormally, BBMD utilizes Bayesian posterior samples of the BMD, providing a more accurate estimate of uncertainty distribution.
For a normal distribution of porosities 0 < [phi](x, y) < 1, if [alpha] < ~3, the associated permeability field is normally distributed, whereas if ~15 < [alpha] < ~35, the permeability field is lognormally distributed.
Slimane, "A simple bound on the outage probability with lognormally distributed interferers," IEEE Communications Letters, vol.
From this perspective, model factor M is always considered lognormally distributed in the literature (e.g., [36-38]).
We assumed that the error of state model predictions [epsilon] was lognormally distributed with mean 0 and an estimated standard deviation [[sigma].sub.process].
For extensions to situations that go beyond risks that are lognormally distributed, see Valdez et al.
Because the uncertainty in [TDVM.sub.01] = logio([TDVF.sub.01]) was found to be approximately lognormally distributed, the linear regression was performed on ln([TDVM.sub.01]).
The variables [x.sub.1] and [x.sub.2] are lognormally distributed with mean values [[mu].sub.1] = 38 and [[mu].sub.2] = 54 and standard deviations [[sigma].sub.1] = 3.8 and [[sigma].sub.2] = 2.7.
However, in the market reality, where often the asset price behavior is affected by volatility smile effect, this implies that the asset price is generally unlikely to be lognormally distributed the underlying asset volatility tends to change as asset price moves up and down.
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