Comparative modelling analysis in the applications of parametric and nonparametric approaches

The paper considers the problem of estimating a sample that contains data characterizing one-room apartments in Krasnoyarsk. Two approaches are described: parametric and nonparametric. A linear regression model is used as a parametric structure. Nonparametric methods are implemented using the Nadaraya-Watson kernel estimate. The obtained results are compared as a result of which a conclusion is formulated about which model better approximates the original sample.