Buch, Englisch, 250 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 250 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Chapman & Hall/CRC Texts in Statistical Science
ISBN: 978-1-4665-7343-7
Verlag: Taylor & Francis
This book has been written for students and researchers who wish to gain a working knowledge of time series analysis as applied in biomedical sciences. While intended as a text for graduate and undergraduate students in statistics and biostatistics, it covers a wide range of parametric, nonparametric and multi-scale methods for the analysis of stochastic processes coming from biology, medicine, epidemiology and neuroscience. The book assumes only a basic knowledge of calculus, matrix algebra and elementary statistics.
Autoren/Hrsg.
Weitere Infos & Material
Stationary Time Series. Introduction. Fitting Parametric Models to Multivariate Time Series. Spectral Analysis of Multivariate Time Series. Dimension Reduction for Multivariate Time Series. Non-stationary Time Series. Spectral Analysis of Multivariate Non-Stationary Time Series. Multi-Scale Methods for Non-Stationary Time Series. Classification, Discrimination and Clustering. Dimension Reduction for Multivariate Non-Stationary Time Series. Bayesian Non-Stationary Methods for Multivariate Time Series.
