DOIAbstract
Haar-wavelet, Linear model, Best linear unbiased estimator, Covariance matrix, Information matrix, Optimal design, 62K05,
Haar-wavelet, Linear model, Best linear unbiased estimator, Covariance matrix, Information matrix, Optimal design, 62K05,
We estimate nonlinear autoregressive models using a design-adapted wavelet estimator. We show two pr...
In the context of nonlinear regression models, a new class of optimum design criteria is developed a...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
Wavelets provide a class of methods for localized signal decomposition. This is the first step in th...
In this article, a computational method based on Haar wavelet in time-domain for solving the problem...
-optimal designs are described for a kind of hierarchically ordered system of regression models with...
Multivariate model, Estimable function, Kiefer optimality, Information matrix, Precision matrix, 62K...
We present a new approach of nonparametric regression with wavelets if the design is stochastic. In ...
125 A generalization of the classical A-optimality criterion for designs is derived by defining opti...
The purpose of this paper is to study optimality of an experimental design under the multivariate mo...
Optimal design for the joint estimation of the mean and covariance matrix of the random effects in h...
10.1080/16843703.2018.1542965Quality Technology & Quantitative Management170189-10
This book considers various extensions of the topics treated in the first volume of this series, in ...
In this paper, a Haar wavelet-based method for optimal control of the second-order linear systems wi...
This dissertation primarily concerns maximum likelihood (ML) estimation of linear and nonlinear para...
We estimate nonlinear autoregressive models using a design-adapted wavelet estimator. We show two pr...
In the context of nonlinear regression models, a new class of optimum design criteria is developed a...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
Wavelets provide a class of methods for localized signal decomposition. This is the first step in th...
In this article, a computational method based on Haar wavelet in time-domain for solving the problem...
-optimal designs are described for a kind of hierarchically ordered system of regression models with...
Multivariate model, Estimable function, Kiefer optimality, Information matrix, Precision matrix, 62K...
We present a new approach of nonparametric regression with wavelets if the design is stochastic. In ...
125 A generalization of the classical A-optimality criterion for designs is derived by defining opti...
The purpose of this paper is to study optimality of an experimental design under the multivariate mo...
Optimal design for the joint estimation of the mean and covariance matrix of the random effects in h...
10.1080/16843703.2018.1542965Quality Technology & Quantitative Management170189-10
This book considers various extensions of the topics treated in the first volume of this series, in ...
In this paper, a Haar wavelet-based method for optimal control of the second-order linear systems wi...
This dissertation primarily concerns maximum likelihood (ML) estimation of linear and nonlinear para...
We estimate nonlinear autoregressive models using a design-adapted wavelet estimator. We show two pr...
In the context of nonlinear regression models, a new class of optimum design criteria is developed a...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
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