TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 283

SAS/Ets User's Guide 283. 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 | 2812 F Chapter 45 Window Reference Differencing Specification Window Use the Differencing Specification window to specify the list of differencing lags d lag . lag in a factored ARIMA model. To specify a first difference add the value 1 d 1 . To specify a second difference difference twice at lag 1 add the value 1 again d 1 1 . For first differencing at lags 1 and 12 use the values 1 and 12 d 1 12 . Controls and Fields Lag specifies a lag value to add to the list. Type in a positive integer or select one by clicking the spin box arrows. Duplicates are allowed. Add adds the value in the Lag spin box to the list of differencing lags. Remove deletes a selected lag from the list of differencing lags. OK closes the window and returns the specified list to the Factored ARIMA Model Specification window. Cancel closes the window and discards any lags added to the list. Dynamic Regression Specification Window F 2813 Dynamic Regression Specification Window Use the Dynamic Regression Specification window to specify a dynamic regression or transfer function model for the effect of the predictor variable. It is invoked from the Dynamic Regressors Selection window. Controls and Fields Series is the name and variable label of the current series. Input Model is a descriptive label for the dynamic regression model. You can type a label in this field or allow the system to provide the label. If you leave the label blank a label is generated automatically based on the options you specify. When no options are specified the label is the name and variable label of the predictor variable. Input Transformation displays the transformation specified for the predictor variable. When a transformation is specified the transfer function model is fit to the transformed input variable. Lagging periods is the pure delay in the effect of the predictor l. Simple Order of Differencing is the order of differencing d. Set this field to 1 to use the changes in the predictor variable. Seasonal Order of .

• 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