estimation 
The results are interpreted in the context of spectral estimation of ARMA processes.


An Estimation of the Truncation Error for the TwoChannel Sampling Formulas


The aim of the article is to obtain an estimation for the truncation error in the


MinimumVariance Multitaper Spectral Estimation on the Sphere


Such an estimate is both more representative of the target region and reduces the estimation variance when compared to estimates formed by any single bandlimited window.


The errors estimation of the Chebyshev spectraldifference method for twodimensional vorticity equation


The energy method is the main method used for errors estimation in this paper.


The asymptotically optimal empirical bayes estimation in multiple linear regression model


Empirical Bayes estimation of the parameter vector θ=(β',σ2)' in a multiple linear regression modelY=Xβ+ε is considered, where β is the vector of regression coefficient, ε∽N(0,σI with σ2 unknown.


In this paper, we construct the EB estimators of θ by using the kernel estimation of multivariate density function and its partial derivatives.


Zhu and gives the variance and its estimation of the squared sample correlation coefficient ?n2.


Moment estimation for multivariate extreme value distribution


Moment estimation for multivariate extreme value distribution is described in this paper.


Asymptotics of the residuals density estimation in nonparametric regression underm(n)dependent sample


At last, we discuss the series expressions of these functions and give a Boxcounting dimension estimation of "critical" fractal interpolation functions by using our smoothness results.


In this article, Bayes estimation of location parameters under restriction is brought forth.


Asymptotic efficient estimation in semiparametric nonlinear regression models


In this paper, the estimation method based on the "generalized profile likelihood" for the conditionally parametric models in the paper given by Severini and Wong (1992) is extended to fixed design semiparametric nonlinear regression models.


As supersonic speed at upper reaches and subsonic speed at lower reaches in a duct, the position of shock layer is analyzed and the asymptotic estimation of solution, is obtained.


(1995), a nonlinear wavelet estimation of f(·) without restrictions of continuity everywhere on f(·) is given, and the convergence rate of the estimators in L2 is obtained.

