TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 185

SAS/Ets User's Guide 185. 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 | 1832 F Chapter 28 The TIMEID Procedure Experimental Figure Time ID Decomposition The count-based frequency distributions summarize features of the time ID variable. Individual printed and plotted outputs are available to describe the distribution of the number of spans offsets and interval counts that occur in the time ID variable. Figure illustrates a count-based frequency distribution of the spans within the weekday series. Inferring Time Intervals and Alignments F 1833 Figure Span Count Distribution The large bar at the span of 1 shows that most of the observations are correctly separated by one interval. The bar at 11 indicates that one observation is separated by 11 intervals from the preceding value of the time ID variable. This further illustrates a span of 10 omitted observations. Inferring Time Intervals and Alignments When the INTERVAL option is not specified in the ID statement a time interval is inferred from the time ID values in the input data set. The technique used to infer a time interval involves searching for the interval that fits the greatest number of time ID values. First time ID values are sampled from the input data set to generate a set of candidate intervals. Then the candidate interval that is consistent with greatest number of time ID values is chosen to represent the time series. When the ALIGN INFER option is specified the convention that is used to specify time interval alignment is inferred from the time ID variable values by using a similar technique. When both the time interval and its alignment are to be inferred each of the possible alignments BEGIN MIDDLE and END are considered in the search. Precedence in the search is given to intervals with the BEGIN alignment. 1834 F Chapter 28 The TIMEID Procedure Experimental Data Set Output The TIMEID procedure creates the OUTFREQ OUTINTERVAL and OUTINTERVALDE-TAILS data sets. The OUTFREQ and OUTINTERVALDETAILS data sets contain the variables that are specified in the BY .

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