TAILIEUCHUNG - SAS/ETS 9.22 User's Guide 158

SAS/Ets User's Guide 158. 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 | 1562 F Chapter 22 The SEVERITY Procedure Experimental If left-truncation is specified and the MARKTRUNCATED option is specified then the left-truncated observations are marked in the plot. If right-censoring is specified and the MARKCENSORED option is specified then the right-censored observations are marked in the plot. If regressor variables are specified then the plotted CDF estimates are from a mixture distribution. See the section CDF and PDF Estimates with Regression Effects on page 1545 for details. Comparative PDF Plot The comparative PDF plot helps you visually compare the probability density function PDF estimates of all the candidate distribution models. The plot does not contain PDF estimates for models whose parameter estimation process does not converge. The horizontal axis represents the values of the response variable. The vertical axis represents the values of the PDF estimates. If the HISTOGRAM option is specified then the plot also contains the histogram of response variable values. If the KERNEL option is specified then the plot also contains the kernel density estimate for the response variable values. If regressor variables are specified then the plotted PDF estimates are from a mixture distribution. See the section CDF and PDF Estimates with Regression Effects on page 1545 for details. PDF Plot per Distribution The PDF plot per distribution shows the PDF estimates of each candidate distribution model unless that model s parameter estimation process does not converge. The horizontal axis represents the values of the response variable. The vertical axis represents the values of the PDF estimates. If the HISTOGRAM option is specified then the plot also contains the histogram of response variable values. If the KERNEL option is specified then the plot also contains the kernel density estimate for the response variable values. If regressor variables are specified then the plotted PDF estimates are from a mixture distribution. See the section CDF .

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