Results 51 to 60 of about 61,093 (305)

Varentropy estimators applied to test of fit for inverse Gaussian distribution [PDF]

Journal of Mahani Mathematical Research
Recently, Alizadeh and Shafaei (2023) introduced some estimators for varentropy of a continuous random variable. The present article applies these estimators and construct some tests of fit for Inverse Gaussian distribution.
Hadi Alizadeh Noughabi, Mohammad Shafaei Noughabi   +1 more
doaj   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Shrinkage Testimators for the Inverse Dispersion of the Inverse Gaussian Distribution under the LINEX Loss Function

Austrian Journal of Statistics, 2016
In this paper, shrinkage testimators for the inverse dispersion for inverse Gaussian distribution when its prior information is available in the form of a guess value have been considered. The proposed testimators have been compared with the minimum risk
Gyan Prakash, D.C. Singh
doaj   +1 more source

A Mixture Shared Inverse Gaussian Frailty Model under Modified Weibull Baseline Distribution

Austrian Journal of Statistics, 2020
Frailty models are used in the survival analysis to account for the unobserved heterogeneity in individual risks to disease and death. To analyze the bivariate data on related survival times (e.g.
Ralte Lalpawimawha, Arvind Pandey
doaj   +1 more source

A Note on the Bayes Estimation of Reliability for the Inverse Gaussian Distribution [PDF]

The Egyptian Statistical Journal, 1986
Bayes estimators of the reliability function of the inverse Gaussian distribution are obtained when λ, the scale parameter is known. The Bayes estimators are compared with the maximum likelihood and minimum variance unbiased estimators of reliability ...
S. Shaban
doaj   +1 more source

Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film

Advanced Functional Materials, EarlyView.
ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu, Xiangwei Guo, Sajid Husain, Maya Ramesh, Pushpendra Gupta, Darrell Schlom, Ramamoorthy Ramesh, Yu‐Tsun Shao   +7 more
wiley   +1 more source

First hitting time models for the generalized inverse Gaussian distribution [PDF]

, 1978
Any generalized inverse Gaussian distribution with a non-positive power parameter is shown to be the distribution of the first hitting time of level 0 for each of a variety of time-homogeneous diffusions on the interval [0, ∞).
Halgreen, C., BlÆsild, P., Barndorff-Nielsen, O.   +2 more
core   +1 more source

Modelo Multifractal Aplicado al Riego

Revista de Matemática: Teoría y Aplicaciones, 2012
We define the binomial multifractal distribution as an expression of a law of small numbers. We studied a form of evaluation or design of a distribution system in an irrigation district by determining its conduction capacity with the desired flexibility ...
José Roberto Mercado Escalante, Álvaro Alberto Aldama R., Mauro Íñiguez C, Miguel Ángel Mejía G   +3 more
doaj   +1 more source

statmod: Probability Calculations for the Inverse Gaussian Distribution [PDF]

The R Journal, 2016
The inverse Gaussian distribution (IGD) is a well known and often used probability distribution for which fully reliable numerical algorithms have not been available. Our aim in this article is to develop software for this distribution for the R programming environment.
Giner, Göknur, Smyth, Gordon K.
openaire   +2 more sources

Electrode and Microstructure Dependence of Oxygen Diffusion in Ferroelectric Hafnium Zirconium Oxide Thin Films

Advanced Functional Materials, EarlyView.
Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg, Thomas W. Pfeifer, Chuanzhen Zhou, Yong Kyu Choi, Duk‐Hyun Choe, Patrick E. Hopkins, Jon F. Ihlefeld   +6 more
wiley   +1 more source