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https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.996556/full Frontiers | Quadratic regression estimation of hybridized nanoliquid flow using Galerkin finite... Because of its multivariate particle suspension approach, the developing class of fluid has a better level of stability as well as increased heat transfer. I... regression estimation frontiers quadratic https://www.ets.org/research/policy_research_reports/publications/report/2007/hslt.html Estimation of Standard Error of Regression Effects in Latent Regression Models Using Binder's... Furthermore, they are applied in an empirical study to the 2004 NAEP long-term trend data comparing both large, nearly saturated, and small models.... of standard https://deepai.org/publication/deep-relation-learning-for-regression-and-its-application-to-brain-age-estimation Deep Relation Learning for Regression and Its Application to Brain Age Estimation | DeepAI Apr 13, 2022 - 04/13/22 - Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relati... https://ideas.repec.org/a/eee/econom/v103y2001i1-2p73-110.html Two-step estimation of semiparametric censored regression models Downloadable (with restrictions)! No abstract is available for this item. two step estimation semiparametric censored regression https://www.mdpi.com/2076-3417/13/21/11634 Utilizing Multivariate Adaptive Regression Splines (MARS) for Precise Estimation of Soil Compaction... Traditional laboratory methods for estimating soil compaction parameters, such as the Proctor test, have been recognized as time-consuming and labor-intensive.... regression splines https://www.mathworks.com/matlabcentral/answers/756864-applying-weighted-regression-for-parameter-estimation-in-simulink Applying weighted regression for Parameter estimation in Simulink - MATLAB Answers - MATLAB Central Applying weighted regression for Parameter... Learn more about weighted regression, parameter estimation Simulink weighted regression parameter estimation applying https://www.usgs.gov/publications/estimation-evapotranspiration-across-conterminous-united-states-using-a-regression Estimation of evapotranspiration across the conterminous United States using a regression with... Evapotranspiration (ET) is an important quantity for water resource managers to know because it often represents the largest sink for precipitation (P)... conterminous united states https://www.census.gov/library/working-papers/2015/acs/2015_Griffin_02.html Variance Issues Related to Generalized Regression Estimation Oct 8, 2021 - Presents results of an investigation to determine if there are any underlying causes of the use of generalized regression modeling. variance issues related generalized regression https://ideas.repec.org/h/eme/aecozz/s0731-9053(03)17005-3.html Estimation, Inference, And Specification Testing For Possibly Misspecified Quantile Regression Downloadable (with restrictions)! To date, the literature on quantile regression and least absolute deviation regression has assumed either explicitly or... estimation inference specification testing possibly https://openreview.net/forum?id=KjYcEYOVwq Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding |... We consider the problem of estimating the expected causal effect $E[Y|do(X)]$ for a target variable $Y$ when treatment $X$ is set by intervention, focusing on... https://www.econstor.eu/handle/10419/107799 EconStor: Regularized Regression Incorporating Network Information: Simultaneous Estimation of... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. regularized regression network information econstor incorporating simultaneous https://ideas.repec.org/c/boc/bocode/s459517.html FLEXDID: Stata module for flexible estimation of difference-in-differences regression with... Downloadable! flexdid estimates average treatment effects on the treated (ATETs) in difference-in-differences designs with staggered implementation of... difference in differences https://arxiv.org/abs/2309.07374v1 [2309.07374v1] Beta quantile regression for robust estimation of uncertainty in the presence of... Abstract page for arXiv paper 2309.07374v1: Beta quantile regression for robust estimation of uncertainty in the presence of outliers https://jmlr.org/papers/v26/23-1583.html Outlier Robust and Sparse Estimation of Linear Regression Coefficients linear regression outlier robust sparse estimation https://arxiv.org/abs/2510.06815 [2510.06815] Inference in pseudo-observation-based regression using (biased) covariance estimation... Abstract page for arXiv paper 2510.06815: Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping pseudo observation https://www.usgs.gov/publications/site-specific-estimation-peak-streamflow-frequency-using-generalized-least-squares Site-specific estimation of peak-streamflow frequency using generalized least-squares regression... The U.S. Geological Survey, in cooperation with the Texas Department of Transportation, has developed a computer program to estimate peak-streamflow frequency... generalized least squares site specific https://ccsenet.org/journal/index.php/jmr/article/view/0/44166 Lp-Adaptive Estimation Under Partially Linear Constraint in Regression Model | Florent Kouakou |... Lp-Adaptive Estimation Under Partially Linear Constraint in Regression Model linear constraint https://research.google/pubs/on-the-benefits-of-maximum-likelihood-estimation-for-regression-and-forecasting/ On the benefits of Maximum Likelihood Estimation for Regression and Forecasting maximum likelihood estimation the benefits https://jmlr.org/papers/v24/21-1110.html On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators on the https://ideas.repec.org/a/bes/jnlbes/v8y1990i3p365-71.html Demand Systems Estimation with Microdata: A Censored Regression Approach Demand systems estimation increasingly makes use of household-level microdata, mainly to measure the effects of demographic variables. Data based on these... demand systems estimation microdata censored https://arxiv.org/abs/1604.04516 [1604.04516] Robust adaptive efficient estimation for semi-Markov nonparametric regression models Abstract page for arXiv paper 1604.04516: Robust adaptive efficient estimation for semi-Markov nonparametric regression models https://www.umass.edu/mathematics-statistics/events/yuedong-wang-estimation-and-model-selection-nonparametric-function-function-regression Yuedong Wang: Estimation and model selection for nonparametric function-on-function regression :... Regression models with functional response and functional covariates have recently received significant attention. While various nonparametric and... model selection wang estimation https://www.slideserve.com/noah-cervantes/the-lrpowercorr10-sas-macro-power-estimation-for-logistic-regression PPT - Power Estimation for Logistic Regression with Covariates Using %LRpowerCorr10 Macro... This document discusses the %LRpowerCorr10 SAS macro for estimating power in logistic regression models. It illustrates how to assess the power to detect... power estimation logistic regression ppt https://www.rti.org/publication/regression-composite-estimation-canadian-labor-force-survey-rotation-panel-design Regression Composite Estimation for the Canadian Labor Force Survey with a Rotation Panel Design |... https://openreview.net/forum?id=RwYqA6AjS Direct estimation of fetal head circumference from ultrasound images based on regression CNN |... We design a deep regression network to estimate the fetus head circumference in ultrasound images, instead of resorting to segmentation as is commonly done. https://www.usgs.gov/data/data-support-development-regression-equations-estimation-flood-flows-ungaged-streams-0 Data in support of Development of Regression Equations for the Estimation of Flood Flows at Ungaged... Regression equations, which may be used to estimate flood flows at select annual exceedance probabilities, were developed for ungaged streams in Pennsylvania.... https://www.sintef.no/en/publications/publication/0198cc3d4106-8a343484-4dad-47ec-b90d-1181256e29dc/ Regression-Based Estimation of Nonlinear Hydrodynamic Loads on the INO WINDMOOR 12MW... https://www.iza.org/en/publications/dp/8282/a-permutation-test-and-estimation-alternatives-for-the-regression-kink-design A Permutation Test and Estimation Alternatives for the Regression Kink Design | IZA@LISER Network The Regression Kink (RK) design is an increasingly popular empirical method, with more than 20 studies circulated using RK in the last 5 years since t... https://www.econstor.eu/handle/10419/65287 EconStor: Smoothed L-estimation of regression function EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. econstor smoothed l estimation regression https://www.preprints.org/manuscript/202502.1419 Comparison of the Polynomial Regression zonal estimation versus the Inverse Distance Weighting and... Two reservoir's porosity datasets are mapped using the Polynomial Regression (zonal estimation), Inverse Distance Weighting and Ordinary Kriging (both are... inverse distance weighting of the polynomial regression https://www.sri.com/publication/biosciences-health-pubs/a-regression-model-for-risk-difference-estimation-in-population-based-case-control-studies-clarifies-gender-differences-in-lung-cancer-risk-of-smokers-and-never-smokers/ A Regression Model for Risk Difference Estimation in Population-Based Case-Control Studies... Apr 19, 2023 - Additive risk models are necessary for understanding the joint effects of exposures on individual and population disease risk. https://www.muni.cz/en/research/publications/1760377 Comparison of parametric and semiparametric survival regression models with kernel estimation |... comparison parametric