Results 31 to 40 of about 125,567 (253)

Fast Proxy Centers for the Jeffreys Centroid: The Jeffreys–Fisher–Rao Center and the Gauss–Bregman Inductive Center

open access: yesEntropy
The symmetric Kullback–Leibler centroid, also called the Jeffreys centroid, of a set of mutually absolutely continuous probability distributions on a measure space provides a notion of centrality which has proven useful in many tasks, including ...
Frank Nielsen
doaj   +1 more source

A novel family of lifetime distribution with applications to real and simulated data

open access: yesPLoS ONE, 2020
The paper investigates a new scheme for generating lifetime probability distributions. The scheme is called Exponential- H family of distribution. The paper presents an application of this family by using the Weibull distribution, the new distribution is
Muhammad Ijaz   +3 more
doaj   +2 more sources

On the Admissibility of Estimators of Two Ordered Gamma Scale Parameters under Entropy Loss Function

open access: yesRevstat Statistical Journal, 2011
Suppose that a random sample of size ni is drawn from a gamma distribution with known shape parameter νi > 0 and unknown scale parameter βi > 0, i = 1, 2, satisfying 0 < β1 ≤ β2.
N. Nematollahi , Z. Meghnatisi
doaj   +1 more source

Approximation of Densities on Riemannian Manifolds

open access: yesEntropy, 2019
Finding an approximate probability distribution best representing a sample on a measure space is one of the most basic operations in statistics. Many procedures were designed for that purpose when the underlying space is a finite dimensional Euclidean ...
Alice le Brigant, Stéphane Puechmorel
doaj   +1 more source

On Sufficiency and the Exponential Family

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1963
SUMMARY The use of the likelihood function as the minimal sufficient statistic provides a simple and direct proof of results by Barankin and Katz (1959) and Barankin (1961) concerning minimal sufficient statistics. In Section 2 the likelihood function is used to analyse the effect of sampling on the dimensionality of the sufficient ...
openaire   +2 more sources

Odd Exponential-Logarithmic Family of Distributions: Features and Modeling

open access: yesMathematical and Computational Applications, 2022
This paper introduces a general family of continuous distributions, based on the exponential-logarithmic distribution and the odd transformation. It is called the “odd exponential logarithmic family”.
Christophe Chesneau   +3 more
doaj   +1 more source

An Exponential Family of Lorenz Curves [PDF]

open access: yesSouthern Economic Journal, 2001
A new method for building parametric‐functional families of Lorenz curves, generated from an initial Lorenz curve (which satisfies some regularity conditions), is presented. The method is applied to the exponential family since they use the exponential Lorenz curves as their generating curves.
Sarabia Alegría, José María   +2 more
openaire   +2 more sources

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

open access: yesFEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey   +4 more
wiley   +1 more source

Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity

open access: yesEntropy
Exponential families are statistical models which are the workhorses in statistics, information theory, and machine learning, among others. An exponential family can either be normalized subtractively by its cumulant or free energy function, or ...
Frank Nielsen
doaj   +1 more source

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