Results 71 to 80 of about 2,043 (239)

Residual diagnostics for assessing closed population capture–recapture models

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Capture–recapture models provide a statistical framework for estimating demographic parameters from incomplete observation data, where not all individuals in a population are detected during sampling. Assessing the fit of such models is crucial for reliable inference.
Jakub Stoklosa   +2 more
wiley   +1 more source

Trajectories of medication for opioid use disorder and their impact on HIV testing among people who inject drugs in India: A longitudinal assessment of clinic‐based data

open access: yesAddiction, Volume 120, Issue 4, Page 745-755, April 2025.
Abstract Aims The aim of this study was to identify longitudinal trajectories of medication for opioid use disorder (MOUD) use throughout 1 year following MOUD initiation and to examine the association of trajectory membership with HIV testing among people who inject drugs in India.
Allison M. McFall   +8 more
wiley   +1 more source

Exploring a special class of bi-univalent functions: q-bernoulli polynomial, q-convolution, and q-exponential perspective

open access: yes, 2023
This research article introduces a novel operator termed q-convolution, strategically integrated with foundational principles of q-calculus. Leveraging this innovative operator alongside q-Bernoulli polynomials, a distinctive class of functions emerges ...
Araci, Serkan   +3 more
core   +3 more sources

Identities of symmetry for Bernoulli polynomials and power sums

open access: yesJournal of Inequalities and Applications, 2020
Identities of symmetry in two variables for Bernoulli polynomials and power sums had been investigated by considering suitable symmetric identities. T.
Taekyun Kim   +3 more
doaj   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source

Regularized reduced rank regression for mixed predictor and response variables

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno   +2 more
wiley   +1 more source

Coefficient Estimates and Symmetry Analysis for Certain Families of Bi-Univalent Functions Defined by the q-Bernoulli Polynomial

open access: yes
In the present work, we define certain families, MΣμ,Υ,ℷ,q; x and NΣμ,Υ,ℷ,q; x, of normalized holomorphic and bi-univalent functions associated with Bazilevič functions and ℷ-pseudo ...
Abbas Kareem Wanas   +2 more
core   +1 more source

Proof of some congruences conjectured by Z.-W. Sun

open access: yes, 2017
In this paper, we show that for any prime [Formula: see text], [Formula: see text] and [Formula: see text] where [Formula: see text] denotes the Bernoulli polynomial of degree [Formula: see text].
Guo-Shuai Mao
core   +1 more source

Computational Methods for Solving Higher-Order (1+1) Dimensional Mixed-Difference Integro-Differential Equations with Variable Coefficients

open access: yes, 2023
The main purpose of this article is to present a new technique for solving (1+1) mixeddimensional difference integro-differential Equations (2D-MDeIDEs) in position and time with coefficients of variables under mixed conditions.
Doaa Sh. Mohamed   +2 more
core   +1 more source

The U‐shaped effect of logic multiplicity on organizational performance: Evidence from the US healthcare industry

open access: yesEuropean Management Review, EarlyView.
Abstract We investigate the effect of logic multiplicity on organizational performance and hypothesize that logics may impact performance in view of their sheer number. We further propose that the market logic embedded in the for‐profit legal form can positively moderate the impact of multiple logics on performance.
Francesca Capo   +3 more
wiley   +1 more source

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