IBM SPSS Forecasting 22

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IBM SPSS Forecasting 22 NoteBefore using this information and the product it supports, read the information in Notices on page InformationThis edition applies to version 22, release 0, modification 0 of IBM SPSS Statistics and to all subsequent releases andmodifications until otherwise indicated in new 1. Introduction to Time Series . 1Time Series and Validation Models and Producing 2. Time Series Options for the Expert Selection and Event Outliers with the Expert Modeler . . . 5Custom Exponential Smoothing ARIMA Specification for Custom ARIMA Models . 7Transfer Functions in Custom ARIMA Models . . 8Outliers in Custom ARIMA and Forecast Output to the Best- or Model Predictions and Model Specifications Command Additional 3. Apply Time Series Models and Forecast Output to the Best- or Model Predictions and Model Specifications Command Additional 4. Seasonal Decomposition . . 21Seasonal Decomposition Command Additional 5.

Note Before using this information and the product it supports, read the information in “Notices” on page 33. Product Information This edition applies to version 22, release 0, modification 0 of IBM SPSS Statistics and to all subsequent releases and

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