Time series analysis / contributors Robert Davies, Tim Coole et al.

Includes index.

The Application of time series modelling and Monte Carlo simulation: forecasting volatile inventory requirements -- Arima: an applied time series forecasting model for the Bovespa stock index -- Hurst's memory for chaotic, tree ring, and soi series -- Dynamical analysis and visualization of tornadoes time series -- Duality between time series and networks -- Single event time series analysis in a binary karst catchment evaluated using a groundwater mode (Lurbach System, Austria) -- Time series modelling with application to Tanzania inflation data -- Aid and income: another time-series perspective -- Improved dynamic simulation of end-milling process using time series analysis -- A Feature fusion based forecasting model for financial time series -- Stochastic generation of synthetic minutely irradiance time series derived from mean hourly weather observation data -- Alcopops, taxation and harm: a segmented time series analysis of emergency department presentations -- Time series analysis for psychological research: examining and forecasting change -- Stem: A tool for the analysis of short time series gene expression data -- Funpat: function-based pattern analysis on Rna-Seq time series data.

"Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values. The text provides key methods for building, classifying, testing, and analyzing stochastic models for time series."--Back cover.

Fund 164 New Century Books & Gen. Mdse. Purchased 08/15/2018 76737 nej 5,200.00 2018-08-819 2018-1-0558