On the nonparametric approaches to applied spectral analysis

The nonparametric approaches to applied spectral analysis of generally stationary discrete-time stochastic processes are reviewed. The classical periodogram estimator of spectral density f(ω) of the analyzed stochastic process and the Welch-type estimator are considered in detail. Practical advice on choosing the parameters of both the statistical estimators is presented.