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1 he underlying activity distribution remained lognormal.
2 d score over [Formula: see text] for all the lognormal aerosol modes in the extrapolated regime.
3 utions including Gamma, Bimodal, Cauchy, and Lognormal also represented.
4                                We found that lognormal and gamma distribution models can perform poor
5 itional models for comparison, including the lognormal and gamma distributions.
6 ssumption that the true exposure follows the lognormal and gamma distributions.
7 ve distributions, including the right Pareto-lognormal and lognormal distributions.
8 tral-limit theorem then explains the central lognormal, and a number of possible mechanisms could exp
9     The sequencing counts are described by a lognormal-beta-binomial hierarchical model, which provid
10 -induced IPIs during the unloading phase was lognormal, bimodal, and independent of previously inject
11                It consists of a mixture of a lognormal body and upper and lower power-law tails.
12 cr-1 E. coli by small gull flocks followed a lognormal curve and gulls shed one strain >10(1) log10 C
13  dilution curve is closely approximated by a lognormal curve and that loss of lithium in the lungs fo
14                                              Lognormal curve fitting was used to derive the areas und
15 oi polyhedra distribution that is defined by lognormal curve having a constant standard deviation tha
16                                            A lognormal DFE best explains the data for D. melanogaster
17 M fail to fit empirical data better than the lognormal distribution 95% of the time, it also fails to
18 ss the neuronal population as reflected in a lognormal distribution and demonstrate that half of the
19  is based on a flexible multivariate Poisson-lognormal distribution and is seen to be a natural gener
20 iates considerably from the commonly assumed lognormal distribution and predicts considerably more ra
21            Both the fractal behavior and the lognormal distribution are intimately related to the fac
22             This distribution behaves like a lognormal distribution around the centre, and like a pow
23                                            A lognormal distribution best described the survival time,
24                                          The lognormal distribution best fitted the derivation cohort
25 ion of rates such as a gamma distribution or lognormal distribution has deservedly been popular, but
26                            The role of their lognormal distribution in clonogenic cell survival was e
27  CD34(+) cells and blood vessels exhibited a lognormal distribution indicating a shared spatial niche
28 d that the fit does not suffer when a common lognormal distribution is assumed for all 18 genes compa
29 mal and plant communities, while the Poisson lognormal distribution is the best model for microbes, t
30 o in vivo reports, we found an approximately lognormal distribution of firing rates.
31  of a realistic heterogeneous lung, namely a lognormal distribution of spatial ventilation and perfus
32 to increasing T cell search efficiency: 1) a lognormal distribution of step lengths, 2) motion that i
33 theoretical model successfully explained the lognormal distribution of the temporal parameters and th
34 e movement patterns can be approximated by a lognormal distribution rather than a power-law distribut
35    Connection weights exhibit a heavy-tailed lognormal distribution spanning five orders of magnitude
36       Exon sizes in sequenced genomes show a lognormal distribution typical of a random Kolmogoroff f
37                   The shape parameter of the lognormal distribution was found to be correlated to bot
38                                   Results: A lognormal distribution was more appropriate for capturin
39 other diffusion and nondiffusion models; the lognormal distribution which has heavier tails (lower se
40 croplastic counts are modeled by the Poisson-lognormal distribution with inputs estimated from duplic
41 le wild populations were best described by a lognormal distribution with power-law scaled tails, the
42 ntial growth rate of an organoid following a lognormal distribution within each dataset.
43                                      Using a lognormal distribution, the outcomes of interest for pat
44  N-gons, in a type-I network are fitted by a lognormal distribution, whereas those in type-II display
45  levels of CA1 neurons showed a right-skewed lognormal distribution, with a small portion of highly a
46 me enhancements and inferred fluxes follow a lognormal distribution, with the top 10% emitters contri
47 dual reproduction number following a Poisson lognormal distribution.
48 seases follows a right-skewed, approximately lognormal distribution.
49 arse, and firing rates can be described by a lognormal distribution.
50  cortical neurons can also be described by a lognormal distribution.
51 buted in non-Gaussian distributions, e.g., a lognormal distribution.
52     We model these random periods by using a lognormal distribution.
53 s on Barro Colorado Island, Panama, than the lognormal distribution.
54  several empirical data sets better than the lognormal distribution.
55 er washout is also discussed in terms of the lognormal distribution.
56 s, directed Erdos-Renyi graphs with a broad (lognormal) distribution of synaptic weights best capture
57 ater concentration by randomly sampling from lognormal distributions for random error in the yearly p
58 ultiplicative cell growth, and the mixing of lognormal distributions having different variances, may
59 ng regimes of species-area relationships and lognormal distributions of species abundance with an exc
60                Statistical analysis revealed lognormal distributions of the temporal parameters of [C
61 iles parametric quantile regression assuming lognormal distributions was used to estimate the average
62 5% CI 6.30-16.3) for the gamma, Weibull, and lognormal distributions, respectively.
63 n incubation period using gamma, Weibull and lognormal distributions, with respective means of 8.52 (
64         Histograms of 7200 SERS spectra show lognormal distributions.
65                  Both of these peaks display lognormal distributions.
66 ntent, and amount of starch/cell volume obey lognormal distributions.
67 ns, including the right Pareto-lognormal and lognormal distributions.
68  of small firms, data typically described by lognormal distributions.
69  billion bacterial phylotypes with a Poisson lognormal diversity distribution.
70 ckouts in S. cerevisiae fits a double Pareto-lognormal (DPLN) distribution better than any of the alt
71                            The double Pareto-lognormal (DPLN) distribution is an ideal candidate dist
72          With the observed confirmation of a lognormal emission distribution, this airborne observing
73                   For patients with SAH, the lognormal estimate for delay in time to head CT was 0.2
74                    For patients with AD, the lognormal estimate for delays were 0.2 (95% CI, 0.0-0.4)
75 I, 3.6-5.9), or a delay of 33.3 minutes; the lognormal estimate for ED LOS was 0.1 (95% CI, 0.0-0.1),
76 inutes, and for antihypertensive orders, the lognormal estimate was 4.8 (95% CI, 3.6-5.9), or a delay
77 RPLN), left Pareto-lognormal (LPLN), normal, lognormal, exponential, and Pareto.
78 es rise to such correlations and yields both lognormal firing rates and synaptic efficacies.
79 monstrate that the mixture of the decomposed lognormal flight distributions associated with each moda
80 ifurcating point gives rise to an asymptotic lognormal flow distribution with a positive skewness.
81 connectivity profile) that was well fit by a lognormal function.
82 hibitor, many sets were fitted better by two lognormal functions.
83 re quantified from the areas of deconvoluted lognormal laurdan fluorescence peaks.
84 th 210Po was shown to be well described by a lognormal (LN) distribution function with the aid of aut
85 s with a number of distributions: power law, lognormal, loglogistic, loggamma, right Pareto-lognormal
86 , right Pareto-lognormal (RPLN), left Pareto-lognormal (LPLN), normal, lognormal, exponential, and Pa
87                                The Bernoulli-lognormal mixture assigns observations to subgroups with
88                     We introduce a Bernoulli-lognormal mixture model for clustering DNA methylation d
89                             We show that the lognormal mixture model performs best in terms of power
90                               We show that a lognormal mixture model well describes how the preceding
91                    A compound Bayesian logit-lognormal model accounting for heteroscedasticity was us
92       In combining this scaling law with the lognormal model of biodiversity, we predict that Earth i
93  of mitotic deceleration (implemented with a lognormal model of replication).
94 between features in a modified zero-inflated lognormal model.
95                                              Lognormal models and censored-data methods produced esti
96 ral generalization of the univariate Poisson-lognormal models used in the ecological studies of biodi
97 better fit to the data than did conventional lognormal models.
98 rds, Weibull, exponential, log-logistic, and lognormal models.
99 am network forms spatial response fields and lognormal number codes that resemble those observed in t
100 imated by a unimodal distribution, such as a lognormal or a gamma distribution.
101 s can be considered independent draws from a Lognormal or a Gamma distribution.
102 tistical tests with Poisson, LN, and Poisson-lognormal (P-LN) models.
103        Many of the components in the central lognormal parts of the empirical distributions are unide
104 gnormal, loglogistic, loggamma, right Pareto-lognormal (PLN) and double PLN (dPLN).
105 s over time, and overdispersion using latent lognormal Poisson dynamic generalized linear models.
106 alyses indicate an age of 110.9 (exponential/lognormal priors)/118.7 (uniform priors) million years (
107 nts were fitted to one and to two cumulative lognormal probability distribution functions.
108                                          The lognormal problem can be overcome by using cocktails of
109 ds applied to the log-transformed GFR (i.e., lognormal) quantify only rigid shifts in a given outcome
110                         The low slope of the lognormal rank-order abundance curves indicated a predom
111 robability distributions: DPLN, right Pareto-lognormal (RPLN), left Pareto-lognormal (LPLN), normal,
112                  Changes in the value of the lognormal shape parameter and slope of the cellular drug
113 tions observed at glacial calving fronts and lognormal size-frequency distributions observed globally
114            Their distributions are typically lognormal, suggesting that failure in chemotherapy and t
115                                          The lognormal survival model showed the best performance.
116  species abundance distribution resembling a lognormal with higher rarity, together with the observat
117 n of ~1.0 MJ/m, and that the distribution is lognormal with respect to energy per length and frequenc

 
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