Kitsos, Christos P.Oliveira, AmilcarKitsos, Christos P.2021-05-112021-05-112020-06-06978-3-030-44624-6http://hdl.handle.net/10400.2/10716In this paper the non-linear problem is discussed, for point and interval computational estimation. For the interval estimation an adjusted formulation is discussed due to Beale’s measure of non-linearity. The non-linear experimental design problem is regarded when the errors of observations are assumed i.i.d. and normally distributed as usually. The sequential approach is adopted. The average-per-observation information matrix is adopted to the developed theoretical approach. Different applications are discussed and we provide evidence that the sequential approach might be the panacea for solving a non-linear optimal experimental design problem.engExperimental designOptimal designFisher’s informationAutoregressive modelLinear modelsNon-linear modelsBeale’s measureOptimizationFisher’s informationDesign measurebook part10.1007/978-3-030-44625-3_11