STEPS ON HOW USE SPSS IN FORECASTING
IBM® SPSS® Forecasting enables analysts to predict trends and develop forecasts quickly and easily -- without being an expert statistician. Reliable forecasts can have a major impact on your organization’s ability to develop and implement successful strategies. Unlike spreadsheet programs, IBM SPSS Forecasting has the advanced statistical techniques needed to work with time-series data regardless of your level of expertise. Analyze historical data and predict trends faster, and deliver information in ways that your organization’s decision-makers can understand and use Automatically determine the best-fitting ARIMA or exponential smoothing model to analyze your historic data Model hundreds of different time series at once, rather than having to run the procedure for one variable at a time Save models to a central file so that forecasts can be updated when data changes, without having to re-set parameters or re-estimate models Write scripts so that models can be updated with new data automatically
>>>CLICK HERE TO VIEW AND DOWNLOAD<<<
Content
Chapter 1. >>>Introduction To Time Series<<<,,,2. >>>Introduction To Time SeriesTime Series Modeler<<<,,,3. >>>Apply Time Series Models<<<,,,4. >>>Seasonal Decomposition<<<,,,5. >>>Spectral Plots<<<,,,6. >>>The goodness of Fit Measures<<<,,,7. >>>Outlier Types<<<,,,8. >>>Guide to ACF/PACF plots<<<
>>>CLICK HERE TO VIEW AND DOWNLOAD<<<
About the Researcher...
Prepared by:Ed Neil or you can visit the facebook pageStatisticss For Funfor
No comments:
Post a Comment