TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 231

SAS/Ets User's Guide 231. Provides detailed reference material for using SAS/ETS software and guides you through the analysis and forecasting of features such as univariate and multivariate time series, cross-sectional time series, seasonal adjustments, multiequational nonlinear models, discrete choice models, limited dependent variable models, portfolio analysis, and generation of financial reports, with introductory and advanced examples for each procedure. You can also find complete information about two easy-to-use point-and-click applications: the Time Series Forecasting System, for automatic and interactive time series modeling and forecasting, and the Investment Analysis System, for time-value of money analysis of a variety of investments | 2292 F Chapter 33 The X11 Procedure Dagum E. B. 1980 The X-11-ARIMA Seasonal Adjustment Method Statistics Canada. Dagum E. B. 1982a The Effects of Asymmetric Filters on Seasonal Factor Revision Journal of the American Statistical Association 77 380 732-738. Dagum E. B. 1982b Revisions of Seasonally Adjusted Data Due to Filter Changes Proceedings of the Business and Economic Section the American Statistical Association 39-45. Dagum E. B. 1982c Revisions of Time Varying Seasonal Filters Journal of Forecasting 1 Issue 2 173-187. Dagum E. B. 1983 TheX-11-ARIMA Seasonal Adjustment Method Technical Report 12-564E Statistics Canada. Dagum E. B. 1985 Moving Averages in S. Kotz and N. L. Johnson eds. Encyclopedia of Statistical Sciences volume 5 New York John Wiley Sons. Dagum E. B. 1988 TheX-11-ARIMA 88 Seasonal Adjustment Method Foundations and User s Manual Ottawa Statistics Canada. Dagum E. B. and Laniel N. 1987 Revisions of Trend Cycle Estimators of Moving Average Seasonal Adjustment Method Journal of Business and Economic Statistics 5 2 177-189. Davies N. Triggs C. M. and Newbold P. 1977 Significance Levels of the Box-Pierce Portmanteau Statistic in Finite Samples Biometrika 64 517-522. Findley D. F. and Monsell B. C. 1986 New Techniques for Determining If a Time Series Can Be Seasonally Adjusted Reliably and Their Application to . Foreign Trade Series in M. R. Perryman and J. R. Schmidt eds. Regional Econometric Modeling 195-228 Amsterdam Kluwer-Nijhoff. Findley D. F. Monsell B. C. Shulman H. B. and Pugh M. G. 1990 Sliding Spans Diagnostics for Seasonal and Related Adjustments Journal of the American Statistical Association 85 410 345-355. Ghysels E. 1990 Unit Root Tests and the Statistical Pitfalls of Seasonal Adjustment The Case of . Post War Real GNP Journal of Business and Economic Statistics 8 2 145-152. Higginson J. 1975 An F test for the Presence of Moving Seasonality When Using Census Method II-X-II Variant StatCan Staff Paper STC2102E Seasonal .

• Tài chính doanh nghiệp
• Hướng dẫn sử dụng SAS ETS
• các mô hình phân tích tài chính
• báo cáo tài chính
• phân tích đầu tư
• phân tích tính khả dụng các khoản đầu tư