Stationary Stochastic Models: An Introduction (Gatto Riccardo (Univ Of Bern Switzerland))(Pevná vazba)

This volume provides a unified mathematical introduction to stationary time series models and to continuous time stationary stochastic processes. The analysis of these stationary models is carried out in time domain and in frequency domain. It begins with a practical discussion on stationarity, by which practical methods for obtaining stationary data are described. The presented topics are illustrated by numerous examples. Readers will find the following covered in a comprehensive manner: Autoregressive and moving average time series.Important properties such as causality.Autocovariance function and the spectral distribution of these models.Practical topics of time series like filtering and prediction.Basic concepts and definitions on the theory of stochastic processes, such as Wiener measure and process.General types of
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