Results 81 to 90 of about 128,844 (218)
Unified Stein‐Type Characterizations of Bivariate Count Distributions With Applications
ABSTRACT The derivation and application of Stein identities have received considerable research interest, especially for continuous distributions and univariate discrete distributions. In this article, we derive a unified Stein‐type characterization for three bivariate count models, namely the bivariate Poisson, type‐I bivariate binomial, and bivariate
Shaochen Wang, Christian H. Weiß
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Hermite based poly-bernoulli polynomials with a g-parameter
We introduce the Hermite based poly-Bernoulli polynomials with a q parameter and give some of their basic properties including not only addition property, but also derivative properties and integral representations.
Araci, Serkan +4 more
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ABSTRACT Stochastic Galerkin methods offer unexplored potential for the numerical simulation of parabolic problems with random variables, in particular if they are combined with variational discretizations of the space and time variables. Due to the high dimensionality, the solution of the arising algebraic systems do not become feasible without ...
Moataz Dawor +2 more
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Some Relations on Hermite Matrix Polynomials
In this study we give addition theorem, multiplication theorem and summation formula for Hermite matrix polynomials. We write Hermite matrix polynomials as hypergeometric matrix functions.
Veli Kurt, Levent Kargin
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In this paper, using the Faà di Bruno formula and some properties of the Bell polynomials of the second kind, we obtain a new explicit formula for the generalized Humbert–Hermite polynomials.
Can Kizilateş
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SOME PROPERTIES ASSOCIATED WITH HERMITE MATRIX POLYNOMIALS
The main object of this paper is to give a different approach to proof of bilinear generating function and obtain finite summations for the Hermite matrix polynomials. Also linearization of products of Hermite matrix polynomials is given.
ÇEKİM, BAYRAM, Altin, Abdullah
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Abstract Evaluating physiological maturity is an important trait in dry bean breeding (Phaseolus vulgaris L.), but field scoring can be inaccurate, subjective, and a persistent bottleneck in multi‐environment trials. To address this, we developed a low‐cost, high‐throughput pipeline that predicts plot‐level days after planting at maturity from time ...
Aliasghar Bazrafkan +4 more
wiley +1 more source
Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?
ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su +2 more
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This paper is concerned with representing sums of the finite products of Chebyshev polynomials of the second kind and of Fibonacci polynomials in terms of several classical orthogonal polynomials.
Taekyun Kim +3 more
doaj +1 more source
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source

