Mean-squared prediction errors of the least squares predictors in near-integrated models張凱君KaiJiun Chang
Risk of penalized least squares, greedy selection andl 1-penalization for flexible function libraries For function estimation using penalized squared error criteria, we derive generally applicable risk bounds, showing the balance of accuracy of approximatio... C Huang - Dissertations & Theses - Gradwo...
Obs*R-squared\x054.239092\x05 Probability\x05\x050.515531\x05\x05\x05\x05\x05\x05\x05\x05Test Equation:\x05\x05\x05\x05Dependent Variable:RESID^2\x05\x05\x05\x05Method:Least Squares\x05\x05\x05\x05Date:03/22/12 Time:21:10\x05\x05\x05\x05Sample:2006M01 2011M12\x05\...
Second order structure of mean squared error of generalized least squares estimator adjusted by estimated residuals in a location model with autoregressive error 来自 ResearchGate 喜欢 0 阅读量: 20 作者: Y Toyooka 被引量: 2 年份: 1983 ...
4 Root_mean_square
In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model. This method minimizes the sum of squared vertical distances between the observed responses in the dataset, and the responses predicted by the linear ...
Method: Least Squares Sample: 1980 1995 Included observations: 16 Variable Coefficient Std. Error t-Statistic Prob. C 155.6083 ( ① ) 0.269042 0.7921 X1(② ) 0.063573 12.99003 0.0000 X2 -56.43329 31.45720 (③) 0.0961 R-squared 0.989437 Mean dependent var 2952.175 Adjusted R-squared(④) S...
4 Root_mean_square
Method: Least Squares Sample: 1950 1972 Included observations: 23 Variable Coefficient Std. Error t-Statistic C 0.682674 0.235425 2.8997515 LOG(X) 0.514047 0.070189 7.323777 R-squared 0.718641 Mean dependent var 4.596044 Adjusted R-squared 0.705243 ...
(c) the root-mean-squared delay spread (RDS) of the received signals, between LOS and NLOS propagation scenarios, which can be exploited for accurate ... S Venkatesh,Buehrer, R.M. - 《Microwaves Antennas & Propagation Iet》 被引量: 187发表: 2007年 Wideband direction-of-arrival estimation ...