Results 21 to 30 of about 93,922 (285)

Non-parametric projections of national income distribution consistent with the Shared Socioeconomic Pathways

open access: yesEnvironmental Research Letters, 2023
Understanding and projecting income distributions within countries and regions is important to understanding consumption trends and the distributional consequences of climate impacts and responses.
Kanishka B Narayan   +3 more
doaj   +1 more source

An EM Algorithm for Double-Pareto-Lognormal Generalized Linear Model Applied to Heavy-Tailed Insurance Claims

open access: yesRisks, 2017
Generalized linear models might not be appropriate when the probability of extreme events is higher than that implied by the normal distribution. Extending the method for estimating the parameters of a double Pareto lognormal distribution (DPLN) in Reed ...
Enrique Calderín-Ojeda   +2 more
doaj   +1 more source

Variability in the Log Domain and Limitations to Its Approximation by the Normal Distribution

open access: yesCPT: Pharmacometrics & Systems Pharmacology, 2020
Pharmacometric models using lognormal distributions have become commonplace in pharmacokinetic–pharmacodynamic investigations. The extent to which it can be interpreted by traditional description of variability through the normal distribution remains ...
Jeroen Elassaiss‐Schaap   +1 more
doaj   +1 more source

Bayesian computation for the common coefficient of variation of delta-lognormal distributions with application to common rainfall dispersion in Thailand [PDF]

open access: yesPeerJ, 2022
Rainfall fluctuation makes precipitation and flood prediction difficult. The coefficient of variation can be used to measure rainfall dispersion to produce information for predicting future rainfall, thereby mitigating future disasters.
Noppadon Yosboonruang   +2 more
doaj   +2 more sources

A Bayesian Angular Superresolution Method With Lognormal Constraint for Sea-Surface Target

open access: yesIEEE Access, 2020
Maximum a posteriori (MAP) approach, based on Bayesian criterion, is proposed to overcome the low azimuth resolution in real-aperture imaging. The essence of this approach is to use the statistical characteristics of the imaging background and target to ...
Jianyu Yang   +4 more
doaj   +1 more source

DETERMINATION OF COEFFICIENT OF CAPITALIZATION FROM STATISTICAL DATA

open access: yesСтатистика и экономика, 2016
The article introduces a new stochastic model of the real estate market pricing, cost of rent, capitalization ratio appraisals based on a lognormal distribution.
M. . Laskin   +2 more
doaj   +1 more source

Performance analysis of dual-media cooperative communication based on wireless and power line under hybrid fading

open access: yesInternational Journal of Distributed Sensor Networks, 2019
Wireless communication and power line communication are extensively applied in various fields, such as household Internet of things. For cooperative communication of amplify–forward relay using wireless access and power line transmission, the hybrid ...
Zhixiong Chen   +3 more
doaj   +1 more source

SPATIAL AUTOREGRESSIVE (SAR) MODEL WITH ENSEMBLE LEARNING-MULTIPLICATIVE NOISE WITH LOGNORMAL DISTRIBUTION (CASE ON POVERTY DATA IN EAST JAVA)

open access: yesMedia Statistika, 2021
The regression model that can be used to model spatial data is Spatial Autoregressive (SAR) model. The level of accuracy of the estimated parameters of the SAR model can be improved, especially to provide better results and can reduce the error rate by ...
Dewi Retno Sari Saputro   +2 more
doaj   +1 more source

Easy estimation by a new parameterization for the three-parameter lognormal distribution [PDF]

open access: yes, 2013
A new parameterization and algorithm are proposed for seeking the primary relative maximum of the likelihood function in the three-parameter lognormal distribution.
Hirose, Hideo, Komori, Yoshio
core   +1 more source

Reconsidering the significance of genomic word frequency

open access: yes, 2006
We propose that the distribution of DNA words in genomic sequences can be primarily characterized by a double Pareto-lognormal distribution, which explains lognormal and power-law features found across all known genomes.
Csűrös, Miklós   +2 more
core   +5 more sources

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