Publications

Abstract : This chapter presents a new iteration method to find approximate bounds of nonprobabilistic parameters involved in various diffusion models. Estimating nonprobabilistic parameters from the experimental data of a diffusion model is a challenging task. In this regard, here we have proposed a new inverse iteration technique to estimate the nonprobabilistic parameters from known experimental data of the diffusion model. Finally, for the validation of the method, a radon diffusion model along with the known experimental data has been investigated.