Time Series Analysis : Univariate and Multivariate Methods William W.S. Wei
Publisher: Addison Wesley

Help choosing the optimal time series analysis package. Survival Analysis Using the SAS System: A Practical Guide by Paul D. ; ) I agree that Holt-Winters performs really good when used automatically, but I intend to get one more opinion from another model, to avoid cases where forecasts . Multiple Comparisons and Multiple Tests using the SAS System by Peter Westfall et. In this paper, financial time series is chosen to be studied by using nonlinear time analysis method of nonlinear dynamics; both univariate and multivariate data are investigated. Modelling and forecasting univariate time series is the starting point. Conventional wisdom is that Holt-Winters is pretty robust used automatically, so that could be your baseline for out-of-sample comparisons between methods. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. @Scortchi I forgot to mention that all series are univariate! €Methods: This study examined spatial and temporal heterogeneities in the risk of malaria and the influencing factors on malaria incidence using geographical information system (GIS) and time series analysis. Publishes SuanShu, a Java numerical and statistical library. Forecasting Examples for Business and Economics using the SAS System by the SAS Institute; SAS for Forecasting Time Series, Second Edition by John C. Time.Series.Analysis.Univariate.and.Multivariate.Methods.pdf. Allison (2 copies); Extending SAS Survival Analysis Techniques for Medical Research by Alan Cantor. Time Series Analysis : Univariate and Multivariate Methods.