Results 31 to 40 of about 2,000,720 (315)

Inference on a Distribution from Noisy Draws [PDF]

open access: yes, 2019
We consider a situation where the distribution of a random variable is being estimated by the empirical distribution of noisy measurements of that variable. This is common practice in, for example, teacher value-added models and other fixed-effect models
Jochmans, Koen, Weidner, Martin
core   +4 more sources

Correcting statistical models via empirical distribution functions [PDF]

open access: yesComputational Statistics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Munteanu, Alexander, Wornowizki, Max
openaire   +2 more sources

Function-indexed empirical processes based on an infinite source Poisson transmission stream

open access: yes, 2012
We study the asymptotic behavior of empirical processes generated by measurable bounded functions of an infinite source Poisson transmission process when the session length have infinite variance.
Roueff, François   +2 more
core   +1 more source

Efficient estimation of Pareto model: Some modified percentile estimators. [PDF]

open access: yesPLoS ONE, 2018
The article proposes three modified percentile estimators for parameter estimation of the Pareto distribution. These modifications are based on median, geometric mean and expectation of empirical cumulative distribution function of first-order statistic.
Sajjad Haider Bhatti   +5 more
doaj   +1 more source

Asymptotics of the partition function of Ising model on inhomogeneous random graphs

open access: yes, 2017
For a finite random graph, we defined a simple model of statistical mechanics. We obtain an annealed asymptotic result for the random partition function for this model on finite random graphs as n; the size of the graph is very large.
Doku-Amponsah, Kwabena
core   +1 more source

Data Analytics and Distribution Function Estimation via Mean Absolute Deviation: Nonparametric Approach

open access: yesRevstat Statistical Journal
Mean absolute deviation function is used to explore the pattern and the distribution of the data graphically to enable analysts gaining greater understanding of raw data and to foster a quick and a deep understanding of the data as an important basis ...
Elsayed A. H. Elamir
doaj   +1 more source

A novel spatial-distribution-function of electron beam-induced vapor plume for analyzing EBPVD thickness

open access: yesAIP Advances, 2018
This paper investigates the thickness distribution of substrate coating of electron-beam physical vapor deposition (EBPVD) using a novel spatial-distribution-function, which is different from the empirical modified law.
Ching-Yen Ho   +7 more
doaj   +1 more source

New Goodness-of-Fit Tests for the Kumaraswamy Distribution

open access: yesStats
The two-parameter distribution known as the Kumaraswamy distribution is a very flexible alternative to the beta distribution with the same (0,1) support.
David E. Giles
doaj   +1 more source

Smooth Versions of the Mann–Whitney–Wilcoxon Statistics

open access: yesAxioms, 2022
The well-known Mann–Whitney–Wilcoxon (MWW) statistic is based on empirical distribution estimates. However, the data are often drawn from smooth populations. Therefore, the smoothness characteristic is not preserved.
Netti Herawati, Ibrahim A. Ahmad
doaj   +1 more source

Generalized Emission Functions for Photon Emission from Quark-Gluon Plasma [PDF]

open access: yes, 2006
The Landau-Pomeranchuk-Migdal effects on photon emission from the quark gluon plasma have been studied as a function of photon mass, at a fixed temperature of the plasma. The integral equations for the transverse vector function (${\bf \tilde{f}(\tilde{p}
L. D. Landau   +2 more
core   +2 more sources

Home - About - Disclaimer - Privacy