Showing 1 - 6 of 6
This research review highlights the use of zinc oxide (ZnO) nanostructure as a photoanode in the fabrication of dye-sensitised solar cells (DSSC). ZnO nanostructure thin films offer large surface area, direct electron pathways and effective light scattering centre. The fabrication work can...
Persistent link: https://www.econbiz.de/10011049403
This paper is concerned with the problem of finding the minimax estimators of the parameter of the Maxwell distribution (MW) for quadratic loss functions by applying the theorem of Lehmann [1950]. Through simulation study the performance of this method compared with the classical methods...
Persistent link: https://www.econbiz.de/10014124451
In this paper, we obtained Basyian estimators of the shape parameter of the Pareto type I distribution using Bayian method under Generalized square error loss function and Quadratic loss function. In order to get better understanding of our Bayesian analysis we consider non-informative prior for...
Persistent link: https://www.econbiz.de/10012979893
In this paper, we obtained some Bayesian estimators of the parameter of an Inverse Rayleigh distribution under three different loss functions, represented by Quadratic loss function, Quasi-quadratic loss function and Generalized square error loss function. In order to get a better understanding...
Persistent link: https://www.econbiz.de/10012979899
In this paper, we obtained Basyian estimators of the shape parameter of the Pareto type I distribution using Bayian method under Generalized square error loss function and Quadratic loss function. In order to get better understanding of our Bayesian analysis we consider non-informative prior for...
Persistent link: https://www.econbiz.de/10012979900
In this paper we derived some Bayesian estimators of the scale parameter for the Laplace distribution under different loss function including the squared log error loss function, Quadratic loss function and Entropy loss function. Also some classical estimators have been obtained, such as Maximum...
Persistent link: https://www.econbiz.de/10012980698