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estimation
The results are interpreted in the context of spectral estimation of ARMA processes.
      
An Estimation of the Truncation Error for the Two-Channel Sampling Formulas
      
The aim of the article is to obtain an estimation for the truncation error in the
      
Minimum-Variance 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 spectral-difference method for two-dimensional 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 Box-counting 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.
      
 

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