Results 151 to 160 of about 166,384,605 (228)

A Generalization on a Certain Class of Salagean-Type Harmonic Univalent Functions and Distortion Theorems for Fractional Calculus

open access: yes, 2015
[[abstract]]We define and investigate a new class of Salagean-type harmonic univalent functions. We obtain some properties of this subclass. Furthermore, we give the Hadamard product of several functions and some distortion theorems for fractional ...
Güney, H. Özlem, Owa, Shigeyoshi
core  

Deflection‐based assessment of residual prestress in simply‐supported bridges accounting for creep variability

open access: yesStructural Concrete, EarlyView.
Abstract Several test methods have been proposed in the literature for measuring the level of residual prestress, most of them involving either semi‐ or fully destructive techniques for local measurements which could be highly sensitive to boundary conditions and execution details.
Giuseppe Zarrella   +2 more
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo   +2 more
wiley   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim   +2 more
wiley   +1 more source

Estimation of comparable standardized mean differences in cluster randomized trials with covariate adjustment

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Standardized mean differences (SMDs) are widely used to quantify treatment effects in cluster‐randomized trials. However, covariate adjustment in hierarchical linear models reduces the residual variance components used for standardization, which artificially inflates effect size estimates and undermines comparability across studies. We propose
Juyoung Jung   +2 more
wiley   +1 more source

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