National Center for Science and Engineering Statistics (NCSES)’s Post

View our latest report on Effect Size Database a free repository that reports effect sizes associated with studies in the YEF Evidence and Gap Map. It helps researchers design impact evaluations by presenting expected effect sizes for interventions and contexts, aiding in future systematic reviews and meta-analyses. Review here: https://buff.ly/3VGx024

Check out our latest blog post on the asymptotic estimations of a perturbed symmetric eigenproblem. We delve into the study of ill-conditioned positive definite matrices disturbed by the sum of $m$ rank-one matrices of a specific form, providing estimates for eigenvalues and eigenvectors. Don't miss out on the insightful findings! Read more here: https://bit.ly/3Pk4AIK.

Exciting news! We just published a groundbreaking blog post on a novel Clustering Method for Maximizing Decoding Information within graph-based models. The post delves into the innovative CMDI, which leverages two-dimensional structural information theory to address the uncertainty associated with random walk access between nodes and the embedded structural information in the data. Empirical evaluations demonstrate that CMDI outperforms classical baseline methods, showcasing superior decoding information ratio and heightened efficiency, particularly when considering prior knowledge. Dive into the details and explore the future of graph-based clustering analysis at https://bit.ly/3xdciOG.

 ● The determination of reliability of a questionnaire will initially be performed during a pilot study by conducting the required statistical tests using a small sample size. ● Subsequently, the determination of reliability of a questionnaire will be performed again in the fieldwork by conducting the same statistical tests by using a larger sample size.

#mdpienergies #highlycitedpaper Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition 👉https://ow.ly/WZ6Q50QviOv 同济大学 #clusteranalysis #modedecomposition #LSTNet #ultrashorttermloadforecasting #nonstationarytimeseries

New pre-print out (https://lnkd.in/eVYRvFb4) with Gilberto Tetlalmatzi-Xolocotzi, Jorinde van de Vis, Osama Karkout, Marieke Postma and Tristan du Pree! We investigated whether enhanced triple Higgs boson production at the LHC in a model with two extra singlets coincides with a first-order electroweak phase transition. You can also find new benchmark points for HHH with enhancement factors of over 100 times the SM cross section, all compatible with current experimental data and theoretical constraints.

The results from a survey of 75 @Penn faculty members shows how knowledge about the utility of POUS in the diagnostic evaluation of different conditions has changed over six years. Find the survey here: https://lnkd.in/e_rQTBnh

Accelerate your spectral analysis with expanded compound coverage with Wiley's ground-breaking SmartSpectra databases! You can be confident the spectra are based on sound scientific principles and methods. Work smarter, not harder. ➡️https://ow.ly/Oqp350T2RXc #prediction #analysis

#mdpienergies #highlycitedpaper Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition 👉https://ow.ly/3i0N50QviOw 同济大学 #clusteranalysis #modedecomposition #LSTNet #ultrashorttermloadforecasting #nonstationarytimeseries

Stay up to date with the latest research in Measurement, Evaluation, Statistics, & Assessment with the ESM program's MAD Blog! #ELPS #ESM Check out our newest blog post by Dr. Jennifer Ann Morrow regarding careers in program evaluation! https://lnkd.in/evRZemVW