Application of nonlinear estimation in studying dose-response relationships

A nonlinear model depending on one modifying factor to study the dependence of the Papova virus reduction factor on the radiation dose is presented. In this model, least squares estimates of the parameters are obtained using the linearization method with the initial guesses values. An extension of the initial exponential model is proposed when the viral material is influenced by some modifying factors. (author)