TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 252

SAS/Ets User's Guide 252. 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 | 2502 F Chapter 36 The SASEFAME Interface Engine Before you use Viewtable it is recommended that you store your output data sets in a physical folder or library that is separate from the folder or library used for your input databases. The default location for output data sets is the SAS Work library. Remote Fame Data Access The remote access feature of the SASEFAME interface uses the Fame CHLI to communicate with your remote Fame server and it is available to licensed CHLI customers who have Fame CHLI on both the remote and client machines. As shown in Example you simply provide the frdb_m port number and node name of your Fame master server in your libref. For more details see the section Starting the Master Server in the Guide to Fame Database Servers. Creating Views of Time Series Using SASEFAME LIBNAME Options You can perform selection based on names of your time series simply by using Fame wildcard specifications in your SASEFAME WILDCARD option. You can limit the time span of time series data by specifying a begin and end date range in your SASEFAME RANGE option. It is also easy to use the SAS input data set INSET option to create a specific view of your Fame data. Multiple views can be created by using multiple LIBNAME statements with customized options tailored to the unique view that you want to create. You can list the INSET variables that you want to keep in your SAS data set by using the KEEPLIST clause. When used in conjunction with the input data set that you specify in the INSET option SASEFAME can show any or all of your expression groups in the same view or in multiple views. The INSET option defines the valid set of expression groups that you can reference in the KEEPLIST clause as shown in Example . The INSET variables define the BY variables that enable you to view cross sections slices of your data. When INSET variables are used in conjunction with the WHERE clause and the CROSSLIST option SASEFAME can show any or all of your BY .

• 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