Results 31 to 40 of about 33,702 (146)
Nonparametric estimation of a polarization measure [PDF]
This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques.
Gordon Anderson +2 more
core +3 more sources
Pranab Kumar Sen: Life and works
, 2008 In this article, we describe briefly the highlights and various accomplishments in the personal as well as the academic life of Professor Pranab Kumar Sen.Comment: Published in at http://dx.doi.org/10.1214/193940307000000013 the IMS Collections (http://
Balakrishnan, N. +2 more
core +1 more source
Journal of Agricultural Economics, EarlyView.ABSTRACT Most research questions in agricultural and applied economics are causal in nature: they study how changes in one or more variables (such as policies, prices or weather) affect one or more other variables (e.g., income, crop yields or pollution).
Arne Henningsen +6 more
wiley +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
Testing for Homogeneity in Mixture Models [PDF]
, 2016 Statistical models of unobserved heterogeneity are typically formalized as mixtures of simple parametric models and interest naturally focuses on testing for homogeneity versus general mixture alternatives.
Gu, Jiaying +2 more
core +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
On the power of conditional independence testing under model-X
, 2021 For testing conditional independence (CI) of a response Y and a predictor X given covariates Z, the recently introduced model-X (MX) framework has been the subject of active methodological research, especially in the context of MX knockoffs and their ...
Katsevich, Eugene, Ramdas, Aaditya
core
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
, 2015 We propose a generalized partially linear functional single index risk score model for repeatedly measured outcomes where the index itself is a function of time.
Jiang, Fei, Ma, Yanyuan, Wang, Yuanjia
core +1 more source