Results 221 to 230 of about 118,514 (262)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation. [PDF]

J Am Stat Assoc
Shi J, Wu Z, Dempsey W.
europepmc   +1 more source

An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang, Anja F. Ernst, Ginette Lafit, Ward B. Eiling, Laura F. Bringmann   +4 more
wiley   +1 more source

Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and random regression models. [PDF]

Vet Anim Sci
Bashiru HA, Oseni SO.
europepmc   +1 more source

Reliability measures in knowledge structure theory

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In knowledge structure theory (KST) framework, this study evaluates the reliability of knowledge state estimation by introducing two key measures: the expected accuracy rate and the expected discrepancy. The accuracy rate quantifies the likelihood that the estimated knowledge state aligns with the true state, while the expected discrepancy ...
Debora de Chiusole, Andrea Spoto, Umberto Granziol, Luca Stefanutti   +3 more
wiley   +1 more source

Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels. [PDF]

Stat Pap (Berl)
Genest C, Ouimet F.
europepmc   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

Representative Random Sampling of Chemical Space. [PDF]

J Chem Theory Comput
Monterrubio-Chanca DJ, von Rudorff GF.
europepmc   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

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

Expected Mitochondrial Haplotype Richness in Remaining Populations of the Critically Endangered European Mink <i>Mustela lutreola</i> and Its Conservation Implications. [PDF]

Int J Mol Sci
Skorupski J, Śmietana P, Seebass C, Festl W, Vasile A, Kiseleva N, Brandes F, Marinov M.   +7 more
europepmc   +1 more source

Latent Poisson count models for action count data from technology‐enhanced assessments

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley   +1 more source