使用STATA稳健性标准误差做多元回归 | Multiple regression in STATA using robust standard errors9450 2 2020-03-17 22:35:44 未经作者授权,禁止转载 您当前的浏览器不支持 HTML5 播放器 请更换浏览器再试试哦~42 12 95 29 视频源来自一位油管学术大佬 Mike Crowson 这是大佬自己的学术分享网站: https://...
We introduce the principle of robust ordinal regression to multiple criteria group decision, and we present two new methods using a set of additive value functions as a preference model, called UTA-GROUP and UTADIS-GROUP. With respect to the set of decision makers (DMs), we consider two level...
Multiple linear regression OG: Orthogneiss PC: Principal component PCA: Principal component analysis SG: Sillimanite and garnet-bearing biotite gneiss D : Bulk density, g/cm3 FD: Fracture density, m−1 GR: Gamma ray, API K : Potassium, ppm N : Neutron porosity, v/v P10:...
OLS is the optimal regression estimator under a set of assumptions on the distribution of the error term and predictor variables. Compound robust regression estimators have been proposed as alternatives when some OLS assumptions fail. Compound estimators can accommodate multiple outliers and limit the ...
We introduce the principle of robust ordinal regression to multiple criteria group decision, and we present two new methods using a set of additive value functions as a preference model, called UTAGMS-GROUP and UTADISGMS-GROUP. With respect to the set of decision makers (DMs), we consider two...
Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty Robust ordinal regression for dominance-based rough set approach to multiple criteria sorting. Information Sciences 283, 211 - 228.Kadzin´ski, M., Greco, S., Slowin´ski, R.: Robust Ordinal Regression for ...
The quadratic assignment procedures for inference on multiple-regression coefficients(MRQAP) has become popular in social net-work analysis. These tests have been developed to assess the sizes of a set of multiple-regression coefficients. However, research practitioners of-ten use these tests to asses...
Combining sample-dependent focal slope estimates provides biased point estimates, however, the results of this paper suggest that the robust standard errors are still accurate. 展开 关键词: Multiple Regression Analysis Meta Analysis Evaluation Methods Computation Models Monte Carlo Methods Simulation ...
(Fig.4; measured by average out-of-sample McFadden’sR2for logistic regression;Methods). While the increased performance of local ancestry in some regions compared with regular GWAS can be explained by tagging of SNPs outside the region, the increased performance of HTRX over GWAS quantifies ...
This study examines the performance of robust method of the least median squares (LMS) and the multi-stage method (MM) compared to OLS in a regression analysis of data which contains outliers. Data analysis was performed on simulation data and oil palm production data. Based on the average ...