Results 81 to 90 of about 206,054 (294)

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

open access: yesAdvanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong   +7 more
wiley   +1 more source

A new class of gamma distribution

open access: yesActa Scientiarum: Technology, 2017
This paper presents a new class of probability distributions generated from the gamma distribution. For the new class proposed, we present several statistical properties, such as the risk function, expansions to density and cumulative function, moment ...
Cícero Carlos Ramos de Brito   +3 more
doaj   +1 more source

Global Nitrogen Deposition Promotes Carbon Sink Formation in Terrestrial Ecosystems

open access: yesAdvanced Science, EarlyView.
Nitrogen deposition alleviates ecosystem N limitation and enhances carbon sinks. Using 829 observations, we show 36% of deposited N is retained globally (39.15 Tg N yr−1), with distinct NHx and NOy contributions. This retention drives a terrestrial C sink of 0.88 Pg C yr−1 (25.48%), highlighting the importance of pool‐specific C:N stoichiometry ...
Lei Li   +6 more
wiley   +1 more source

Power Prior Elicitation in Bayesian Quantile Regression

open access: yesJournal of Probability and Statistics, 2011
We address a quantile dependent prior for Bayesian quantile regression. We extend the idea of the power prior distribution in Bayesian quantile regression by employing the likelihood function that is based on a location-scale mixture representation of ...
Rahim Alhamzawi, Keming Yu
doaj   +1 more source

Uniform Bias Study and Bahadur Representation for Local Polynomial Estimators of the Conditional Quantile Function [PDF]

open access: yes
This paper investigates the bias and the Bahadur representation of a local polynomial estimator of the conditional quantile function and its derivatives.
Camille Sabbah, Emmanuel Guerre
core  

Approximation of high quantiles from intermediate quantiles

open access: yes, 2016
Motivated by applications requiring quantile estimates for very small probabilities of exceedance, this article addresses estimation of high quantiles for probabilities bounded by powers of sample size with exponents below -1.
de Valk, Cees
core   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

open access: yesAdvanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang   +11 more
wiley   +1 more source

An R Implementation of the Polya-Aeppli Distribution [PDF]

open access: yes, 2014
An efficient implementation of the Polya-Aeppli, or geometirc compound Poisson, distribution in the statistical programming language R is presented.
Burden, Conrad J.
core  

Second order ancillary: A differential view from continuity

open access: yes, 2010
Second order approximate ancillaries have evolved as the primary ingredient for recent likelihood development in statistical inference. This uses quantile functions rather than the equivalent distribution functions, and the intrinsic ancillary contour is
Fraser, Ailana M.   +2 more
core   +1 more source

Quantile‐locating functions and the distance between the mean and quantiles

open access: yesStatistica Neerlandica, 1993
Given a random variable X with finite mean, for each 0 < p < 1, a new sharp bound is found on the distance between a p‐quantile of X and its mean in terms of the central absolute first moment of X. The new bounds strengthen the fact that the mean of X is within one standard deviation of any of its medians, as well as a recent quantile ...
Gilat, D., Hill, Theodore P.
openaire   +3 more sources

Home - About - Disclaimer - Privacy