This paper examines iterative methods for estimating missing values in a general designed experiment having a single error term in the analysis of variance. Both the ...

This paper considers maximum likelihood estimation for the parameters of quasiindependence in a contingency table with a missing or excluded diagonal. Two of the methods discussed derive from the EM ...

Parabolic partial differential equations (PDEs) are fundamental in modelling a wide range of diffusion processes in physics, finance and engineering. The numerical approximation of these equations ...

The regression model with autocorrelated disturbances is as follows: In these equations, y t are the dependent values, x t is a column vector of regressor variables, is a column vector of structural ...

The NLIN procedure implements iterative methods that attempt to find least-squares estimates for nonlinear models. The default method is Gauss-Newton, although several other methods, such as Gauss or ...

Abstract: This article introduces an innovative approach to simultaneously estimate time-domain and spatiotemporal faults in nonlinear distributed parameter systems (NDPSs)nonlinear distributed ...

Abstract: This paper introduces an error-adaptive weighting mechanism (EWM) for iterative learning control (ILC), enhancing convergence by incorporating an iteration-dependent weighting matrix into ...