[PDF] Top 20 Linear trimmed means for the linear regression with AR(1) errors model
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Linear trimmed means for the linear regression with AR(1) errors model
... is the class of ð a 1 , a 2 Þ linear trimmed mean’s? However, we do not study the scope of the linear trimmed ...In the literature, consideration has been ... See full document
11
Generalized and pseudo-generalized trimmed means for the linear regression with AR(l) error model
... introduce the concepts of GTM and PGTM in Section 2 and establish their large sample theory in Section ...Finally, the proofs of the theorems are displayed in ...pseudo-generalized trimmed ... See full document
9
Trimmed least squares estimator as best trimmed linear conditional estimator for linear regression model
... DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our ...to the accuracy, ... See full document
16
Then multiple linear regression model will be discussed
... uses the statistical techniques to analyze the real data. With this knowledge, we not only develop the ability to interpret the econo- metric models but also make inference and ... See full document
2
Suppression situations in multiple linear regression
... treat the p – 1 predictors (X 1 , . . . , X j – 1 , X j + 1 , ...multiple regression, variable selection procedures are commonly used to iden- tify the legitimate ... See full document
14
Parametric simultaneous robust inferences for regression coefficient under generalized linear models
... On the other hand, it is noted that when the simulated data sets are generated under the alternative hypothesis H A , the adjusted Wald and score statistics not only rightly reject the ... See full document
20
Error-dependent smoothing rules in local linear regression
... clearly the potential of the methods. Provided errors are stochastically independent, conditional on design points, there is no difficulty in combining error-dependent smoothing with a bias- ... See full document
19
Five-element circuit model using linear-regression method to correct the admittance measurement of metal-oxide-semiconductor capacitor
... extract the interface trap density 共D it 兲 in metal-oxide- semiconductor 共MOS兲 ...capacitors. 1 However, this technique can no longer accurately obtain both EOT and D it values in MOS capacitors with ... See full document
5
Robust diagnostics for the negative binomial regression model
... analysis for locally stationary time series Speaker: Marc Hallin, Universite Libre de Bruxelles, Belgium Stefan Birr, Holger Dette, Stanislav Volgushev Classical spectral methods are subject to two fundamental ... See full document
112
Two-stage Welsh's trimmed mean for the simultaneous equations model
... extend the Welsh’s trimmed mean (Welsh, 1987) for linear regres- sion to the simultaneous equations ...this trimmed mean and real data analysis are also ...of the choice ... See full document
12
Robust constrained-optimization-based linear receiver for high-rate MIMO-OFDM against channel estimation errors
... how the receive diversity can be ex- ploited for ISI-ICI suppression in the considered ...all the received signal branches to form a multichannel system model, with which ... See full document
18
Symmetric regression quantile and its application to robust estimation for the nonlinear regression model
... indices for identifying outliers. We propose a class of symmetric quantiles for estimating unknown nonlinear regression conditional ...than regression quantiles considered by Koenker and ... See full document
18
A multivariate parallelogram and its application to multivariate trimmed means
... (b) The two trimmed means have nearly the same ...When the correlation coefficient ρ gets larger, the asymptotic generalized variances of the two trimmed ... See full document
10
Asymptotic Normality of the Estimated Variance for Polynomial Spline Regression with Unknown Knots and AR(1) Errors
... We examined the asymptotic behavior for the maximum likelihood estimator of the variance of the ·pure error for polynomial spline regression with unknown knots an[r] ... See full document
2
Forecasting the Sales of Passenger Car with Telematics—Comparison of Linear Regression and Fuzzy Linear Regression 鄭光清、陳郁文
... As the technology is progressing, many application products or functions are combined with the traditional vehicle guidance systems so as to be available on the ...at the passenger car ... See full document
2
A linear programming model for the control wafers downgrading problem
... of the control loop system In the wafer fabrication photolithography field, control wafers are utilized for monitoring and measuring the particle content, measuring photo-resistant coat ... See full document
8
A VIF-based optimization model to alleviate collinearity problems in multiple linear regression
... multiple linear regression from an optimization ...programming model, based on the concept of the variance inflation factor ...employ the perturbation method that involves ... See full document
27
Optimal Linear Channel Prediction for LTE-A Uplink Under Channel Estimation Errors
... that linear channel prediction has been considered for improving CSI quality in wireless communications, ...of the existing works relied on the idealized assumption that channel estimation is ... See full document
8
Improving the DMT Performance for MIMO Communication With Linear Receivers
... states for a fixed combination of n and m, the precoding matrices U x satisfying the prescribed condition given therein would have the same diversity gain ...yield the same error ... See full document
12
Model of Contactless Power Transfer System for Linear Track
... a model of Contactless Power Transfer System(CPTS), which adopted a transformer with big air-gap and long primary ...wires. The system has the characters of long leakage inductance, small ... See full document
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