The possibility of applying the logistic regression model for fitting the kinetic conversion data of cellulose pyrolysis has been presented. It has been obtained that the pyrolysis conversion curves at different heating rates can be successfully described by the sixth degree polynomial logistic regression model. In this way, the generalized function can replace the original kinetic conversion curve, which is very useful to overcome the noise problems when analyzing the experimental data. On the basis of the analytical derivative of the known logistic regression model, the activation energies at the different values of the conversion degree have been obtained by means of the Friedman's method.