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SAS/Ets 9.22 User's Guide 160. 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 | 1582 F Chapter 22 The SEVERITY Procedure Experimental The plots in Output 22.3.2 show that both the lognormal and GPD distributions fit the data poorly GPD being the worst. The Burr distribution fits the data as well as the LOGNGPD mixed distribution in the body region but has a poorer fit in the tail region than the LOGNGPD mixed distribution. Output 22.3.2 Comparison of the CDF and PDF Estimates of the Fitted Models Example 22.3 Defining a Model for Mixed Tail Distributions F 1583 Output 22.3.2 continued 1584 F Chapter 22 The SEVERITY Procedure Experimental The P-P plots of Output 22.3.3 provide a better visual confirmation that the LOGNGPD distribution fits the tail region better than the Burr distribution. Output 22.3.3 P-P Plots for the LOGNGPD and BURR Distribution Models Estimate of CDF for .
