Results 21 to 30 of about 3,072 (181)
Intersection Bounds: estimation and inference [PDF]
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially
Adam Rosen +2 more
core +2 more sources
Natural Resources Forum, EarlyView.ABSTRACT The number of studies in literature examining the relationship between economic complexity and environment continues to increase. In those studies, either environmental degradation is represented by a limited indicator, or a traditional empirical method is preferred.
Tunahan Haciimamoglu
wiley +1 more source
Nonparametric frequency domain analysis of nonstationary multivariate time series [PDF]
, 2002 We analyse the properties of nonparametric spectral estimates when applied to long memory and trending nonstationary multiple time series. We show that they estimate consistently a generalized or pseudo-spectral density matrix at frequencies both close ...
Velasco Gómez, Carlos +2 more
core +1 more source
Do Training Programmes Improve Awareness of Sustainable Finance?
Accounting &Finance, EarlyView.ABSTRACT Many initiatives worldwide aim to improve financial knowledge through training programmes at different levels of education. In this context, it is worth highlighting that sustainable finance knowledge should receive attention in line with the global challenges (climate change, social and economic inequalities, etc.) society is facing ...
Carmen González‐Velasco +8 more
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley +1 more source
ReMoDe – Recursive modality detection in distributions of ordinal data
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Using multilabel classification neural network to detect intersectional DIF with small sample sizes
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley +1 more source
Asymptotic standard errors for reliability coefficients in item response theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract In a recent review, Liu et al. (Psychological Methods, 2025b) classified reliability coefficients into two types: classical test theory (CTT) reliability and proportional reduction in mean squared error (PRMSE). This article focuses on quantifying the sampling variability of these coefficients under item response theory (IRT) models.
Youjin Sung, Yang Liu
wiley +1 more source
Beyond Sporting Talent: Other Determinants of Football Clubs’ Wage Bills
Bulletin of Economic Research, EarlyView.ABSTRACT This article delves into the understanding of how football clubs determine wage bills to compensate talent. Using data from first‐division teams in elite European leagues, we estimate wage models based on indicators of sporting performance, “Elo ratings” as a proxy for clubs’ historical achievements and brand strength, and “media visibility ...
Alice Aguiar‐Noury +1 more
wiley +1 more source
Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation
International Statistical Review, EarlyView.Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo +3 more
wiley +1 more source