Results 21 to 30 of about 1,466,663 (147)

LQ-Moments: Application to the Log-Normal distribution [PDF]

Journal of Mathematics and Statistics, 2006
Summary: \textit{G. S. Mudolkar} and \textit{A. D. Hutson} [J. Stat. Plann. Inference 71, No.~1--2, 191--208 (1998; Zbl 0981.62039)] extended L-moments to new moments called LQ-moments (LQMOM). The LQMOM are constructed by using functionals defining quick estimators, where the parameters of quick estimators take the values \(p = 0\), \(\alpha = 1\) for
Shabri, Ani, Jemain, Abdul Aziz
openaire   +2 more sources

Discriminating between the Weibull and log‐normal distributions [PDF]

Naval Research Logistics (NRL), 2004
AbstractLog‐normal and Weibull distributions are the most popular distributions for modeling skewed data. In this paper, we consider the ratio of the maximized likelihood in choosing between the two distributions. The asymptotic distribution of the logarithm of the maximized likelihood ratio has been obtained.
Kundu, Debasis, Manglick, Anubhav
openaire   +2 more sources

Log-normal flux distribution of bright Fermi blazars [PDF]

Research in Astronomy and Astrophysics, 2018
We present the results of the $ $-ray flux distribution study on the brightest blazars which are observed by the \emph{Fermi}-LAT. We selected 50 brightest blazars based on the maximum number of detection reported in the LAT third AGN catalog. We performed standard unbinned maximum likelihood analysis on the LAT data during the period between August ...
Shah, Zahir, Mankuzhiyil, Nijil, Sinha, Atreyee, Misra, Ranjeev, Sahayanathan, Sunder, Iqbal, Naseer   +5 more
openaire   +3 more sources

Bayesian spectral modeling for multiple time series [PDF]

, 2019
We develop a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram distribution for each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean functions.
Cadonna, Annalisa, Kottas, Athanasios, Prado, Raquel   +2 more
core   +1 more source

Emergence of skew distributions in controlled growth processes

, 2011
Starting from a master equation, we derive the evolution equation for the size distribution of elements in an evolving system, where each element can grow, divide into two, and produce new elements.
C. Braun, C. L. Ehlers, G. K. Zipf, H. Risken, H. W. Kwon, J. Beirlant, J.-Y. Fortin, M. Mitzenmacher, M. Sammon, M. Y. Choi, R. Gibrat, S. Roman, Segun Goh, V. Pareto, W. W. Fleming, W. Weibull   +15 more
core   +1 more source

The 3D structure of the Lagrangian acceleration in turbulent flows [PDF]

, 2004
We report experimental results on the three dimensional Lagrangian acceleration in highly turbulent flows. Tracer particles are tracked optically using four silicon strip detectors from high energy physics that provide high temporal and spatial ...
Alice M. Crawford, Eberhard Bodenschatz, Nicolas Mordant, P. K. Yeung, S. B. Pope   +4 more
core   +3 more sources

Towards the field binary population: Influence of orbital decay on close binaries

, 2012
Surveys of the binary populations in the solar neighbourhood have shown that the periods of G- and M-type stars are log-normally distributed. However, observations of young binary populations suggest a log-uniform distribution.
Allison, Bonnell, Bressert, C. Korntreff, Connelley, Duquennoy, Fischer, Heggie, Hillenbrand, Hillenbrand, Jones, Kaczmarek, Kouwenhoven, Kouwenhoven, Kraus, Kroupa, Kroupa, Kroupa, Kroupa, Kroupa, Kroupa, Köhler, Lada, Luhman, Marks, Marks, Moeckel, Olczak, O’Dell, Parker, Parker, Pfalzner, Pfalzner, Preibisch, Prosser, Raghavan, Reipurth, S. Pfalzner, Sridharan, Stahler, T. Kaczmarek   +40 more
core   +1 more source

Tail behavior of sums and differences of log-normal random variables

, 2016
We present sharp tail asymptotics for the density and the distribution function of linear combinations of correlated log-normal random variables, that is, exponentials of components of a correlated Gaussian vector.
Gulisashvili, Archil, Tankov, Peter
core   +1 more source

Bayesian inference for quantiles of the log‐normal distribution

Biometrical Journal, 2020
AbstractThe log‐normal distribution is very popular for modeling positive right‐skewed data and represents a common distributional assumption in many environmental applications. Here we consider the estimation of quantiles of this distribution from a Bayesian perspective. We show that the prior on the variance of the log of the variable is relevant for
Aldo Gardini, Carlo Trivisano, Enrico Fabrizi   +2 more
openaire   +4 more sources

`One-sided' log-normal distribution of conductances of a disordered quantum wire

, 1999
We develop a simple systematic method, valid for all strengths of disorder, to obtain analytically for the first time the full distribution of conductance P(g) for a quasi one dimensional wire in the absence of electron-electron interaction. We show that
A. D. Mirlin, B. I. Shklovskii, B. Jovanovic, B. L. Altshuler, B. L. Altshuler, B. L. Altshuler, B. Rejaei, B. Shapiro, C. Soukoulis, C. W. J. Beenakker, C. W. J. Beenakker, D. H. Cobden, D. S. Fisher, E. N. Economou, J.-L. Pichard, K. A. Muttalib, K. A. Muttalib, K. B. Efetov, K. Frahm, K. Slevin, M. Janssen, M. R. Zirnbauer, O. N. Dorokhov, P. A. Lee, P. A. Mello, P. Brouwer, P. Markos, P. Wölfle, R. Landauer, S. Cho, V. Plerou, Z. Wang   +31 more
core   +2 more sources