SAS/Ets User's Guide 162. 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 | 1602 F Chapter 23 The SIMILARITY Procedure NEXT Missing values are set to the next period s accumulated nonmissing value. Missing values at the end of the accumulated series remain missing. START option specifies a SAS date datetime or time value that represents the beginning of the data. If the first time ID variable value is greater than the START value the series is prepended with missing values. If the first time ID variable value is less than the START value the series is truncated. The START and END options can be used to ensure that data that are associated with each BY group contain the same number of observations. ZEROMISS option specifies how beginning and ending zero values either actual or accumulated are interpreted in the accumulated time series. The following options can also be used to determine how beginning and ending zero values are assigned NONE Beginning and ending zeros are unchanged. This is the default. LEFT Beginning zeros are set to missing. RIGHT Ending zeros are set to missing. BOTH Both beginning and ending zeros are set to missing. If the accumulated series is all missing or zero the series is not changed. INPUT Statement INPUT variable-list options The INPUT statement lists the input numeric variables in the DATA data set whose values are to be accumulated to form the time series or represent ordered numeric sequences when no ID statement is specified . An input data set variable can be specified in only one INPUT or TARGET statement. Any number of INPUT statements can be used. The following options can be used with an INPUT statement ACCUMULATE option specifies how the data set observations are accumulated within each time period for the variables listed in the INPUT statement. If the ACCUMULATE option is not specified in the INPUT statement accumulation is determined by the ACCUMULATE option of the ID statement. If the ACCUMULATE option is not specified in the ID statement or the INPUT statement no accumulation is performed. See the
