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	We have enough content here to fill a text book on this subject. We have laid out many examples showing the weaknesses of simple methods which some people and systems use which provide "B" results. If you want to exceed the "average" performance, spend some time with these examples and learn how easy it is to do time series analysis right and wrong. Call us and we would be happy to explain any of these examples if you don't fully understand them. UNIVARIATE MODELING The Simple Mean Moving Averages Simple Methods What is Autocorrelation? How to Identify an ARIMA model? Why is AUTOBOX superior? Seminars & Short Courses Best Coefficients Why Do I Need Box-Jenkins? What's wrong with simple procedures? Fitting Equations to Data A 12 Period Average Smoothing Data The Heuristic behind AUTOBOX How can I extend ARIMA to include regressors? Measuring Forecast Performance Panel Data or Pooled Cross-Sectional Time Series Data A Tutorial on Robust Procedures Five Easy Pieces ( Not the Movie ) Generalized Least Squares Weighted Least Squares Sample Size Requirements Predicting the End ADVANCED UNIVARIATE MODELING A Formal Introduction To ARIMA A Primer on ARIMA Model Identification The Airline Example Revisited Pooled Cross-Sectional Analysis Sparse Data - Unequally Spaced Data How to identify the model automatically? More on Identifying an ARIMA model - Seminar INTERVENTION/OUTLIERS! What is Intervention Analysis? What is An Outlier? More on Outliers? How To Test Equality Of Trends? Detrending and Autocorrelation The Standard Deviation Seasonal Pulses How Are Things? Modeling Known Interventions (de jure) Quality Control (SPC) and AUTOBOX How Does AUTOBOX Detect Outliers? (Words) Impact Of Outliers (Formal) How Does AUTOBOX Detect Outliers? (Formal) FAQ Hypothesis Generation ~ the use of Interventions to identify Events MULTIVARIATE/CAUSAL MODELING A Primer on Regression Multiple Regression Regression as a PARTICULAR SUBSET of TRANSFER FUNCTIONS Lagged Regression An ARIMA model can contain the effect of omitted causals. The Whys and the Wherefores Testing The Significance Of A Regression Impressed By AUTOBOX Impressed By Transfer Functions Regression Residuals What is Multiple Time Series Analysis (MTSA)? Beer ADVANCED CAUSAL STUFF Why would you want to build a causal model? An Introduction To Transfer Functions What is Pre-Whitening? (Formal) What is Pre-Whitening? (Words) How Do I Test The Significance Of An Event? Identifying a Multiple Input TF Model via a Common Filter Identifying a Multiple Input TF Model via a Common Filter Part 2 Identifying a Multiple Input TF Model via a Common Filter-Part 3 ARIMA is really a Transfer Function model in Sheeps Clothing EXAMPLES OF WHAT NOT TO DO Confusing Forecasting Inc. Using Excel to Do Forecasting Spreadsheet Example #2 Why Simple Method Fail What does our competition do???? Even Prestigous Universities can get it wrong Storks bring Babies, Fireman Cause Damage and Other Classics! Spurious - Food/Zip/Income Spurious #2 Numerous Spurious Examples #1 Numerous Spurious Examples #2 Numerous Spurious Examples #3 Numerous Spurious Examples #4 Spurious Discussion EXAMPLES: Autobox and the famous "Airline Series" Modeling Price Indices in Foreign Trade Predicting Daily Stores Sales - WOW! How Autobox uses Pattern Recognition to help identify the model How to import or enter data into Autobox? How to measure forecast accuracy using different lead times? 12 Examples Our on-line forecasting seminar....all for free! Regression Seminar Discussion on Supply Chain and Demand Management Model EPS over time Forecast Accuracy Forecast Origins LINKS AND TEXTBOOKS: Texts Used to Develop Autobox Links to other websites FUN: Some funny quotes of true(bad) forecasts More bad forecasts Quotes He-man the Statistician Statistician Jokes