2012
Report on methods available to perform a regression for kinetic parameter estimation. From the simple General Least Squares and Weighted Least Squares to the Maximum Likelihood Criterion, Bayesian Estimation, Iteratively Reweighted Least Squares, and Orthogonal Distance Regression. Second-Order Statistical Regression is particularly suitable for time-series data. Additionally, the report deals with methodologies and algorithms used for the parameter estimation for non-linear models. Value and importance of statistical tests of the model and the parameters are discussed.
