Results 121 to 130 of about 128,384 (219)

Effects of Aerobic and Strength‐Based Exercise on Consumer Preference for Protein

Agricultural Economics, EarlyView.
ABSTRACT The role of protein consumption in adaptations to physical exercise is well documented in prior research. However, little is known about how physical exercise and associated protein needs impact consumers’ protein demand. This study pairs matching methods with discrete choice experiments to estimate the impacts of physical exercise on ...
Justin D. Bina
wiley   +1 more source

Investigating the gaze‐driven reversed congruency effect in the spatial Stroop task: A distributional approach

British Journal of Psychology, EarlyView.
Abstract This study investigated how social (faces and eyes) and non‐social (arrows) stimuli modulate attentional orienting in a spatial Stroop task, using a distributional approach. Data from 11 studies (N = 705) were analysed through cumulative distribution functions (CDF), delta functions, and polynomial trend analyses. Three models were applied: (1)
Renato Ponce, Juan Lupiáñez, Carlos González‐García, Maria Casagrande, Andrea Marotta   +4 more
wiley   +1 more source

On linearly related sequences of difference derivatives of discrete orthogonal polynomials [PDF]

Journal of Computational and Applied Mathematics, 2014
R. Álvarez-Nodarse, J. Petronilho, N. Pinzón-Cortés, R. S. Adigüzel   +3 more
semanticscholar   +1 more source

The generalized Hausman test for detecting non‐normality in the latent variable distribution of the two‐parameter IRT model

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This paper introduces the generalized Hausman test as a novel method for detecting the non‐normality of the latent variable distribution of the unidimensional latent trait model for binary data. The test utilizes the pairwise maximum likelihood estimator for the parameters of the latent trait model, which assumes normality of the latent ...
Lucia Guastadisegni, Silvia Cagnone, Irini Moustaki, Vassilis Vasdekis   +3 more
wiley   +1 more source

A Legendre spectral method based on a hybrid format and its error estimation for fourth-order eigenvalue problems

AIMS Mathematics
In this paper, we developed and studied an efficient Legendre spectral method for fourth order eigenvalue problems with the boundary conditions of a simply supported plate.
Yuanqiang Chen, Jihui Zheng, Jing An
doaj   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

Reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij, Lorenza Cotugno, Roberta Siciliano   +2 more
wiley   +1 more source

Robust Trend Estimation From Temporally Irregular Recreational Fisheries Surveys: A Panel Modeling Framework for Sparse Time Series

Fisheries Management and Ecology, EarlyView.
ABSTRACT Monitoring of recreational fisheries faces ongoing challenges due to irregular data collection and sampling gaps. We used a robust statistical approach combining cross‐sectional panel modeling with generalized linear models to analyze discontinuous time series data.
E. Afrifa‐Yamoah, S. M. Taylor, U. A. Mueller   +2 more
wiley   +1 more source

Fractional gaussian noise: Spectral density and estimation methods

Journal of Time Series Analysis, EarlyView.
The fractional Brownian motion (fBm) process, governed by a fractional parameter H∈(0,1), is a continuous‐time Gaussian process with its increment being the fractional Gaussian noise (fGn). This article first provides a computationally feasible expression for the spectral density of fGn.
Shuping Shi, Jun Yu, Chen Zhang
wiley   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source