Frequently Asked Questions
  1. How do I get a trial copy of AUTOBOX 6.0 for Windows?
  2. What is the difference between the forecasting engine and Autobox 6.0?
  3. What does the 30 series limit in a Transfer Function mean?
  4. When you describe the maximum number of data series in each database, what does this refer to?
  5. Is there a maximum number of databases?
  6. What does the user need to supply to build models with Autobox?
  7. If I buy a basic version of your package and I want to upgrade to a more expensive version, will I only pay for the difference in price or will I have to pay for the full amount of the new version?
  8. What does the user need to supply to build models with Autobox?
  9. How many causal variables can be used?
  10. How many observations can be used in an Autobox version 6.0 model?
  11. Are there exception reports that identify high/low series?
  12. Can Autobox store model forms for future use?
  13. Can Autobox include promotional variables in demand forecasting applications?
  14. How is missing data and abnormal data handled?
  15. Does Autobox provide forecast accuracy measurement statistics?
  16. Can Autobox use exponential smoothing/Holt-Winters/etc?
  17. Can the "forecast engine" that drives Autobox be integrated into existing systems?
  18. Can data be imported/exported?
  19. What platforms can the system run on?
  20. Can it simulate what-if scenarios?
  21. Are there graphs to view the analysis?
  22. Are there on-line help/tutorials?
  23. Does AFS provide training for Autobox?
  24. Is there a help desk?
  25. What measures does AUTOBOX provide for actually measuring forecast performance?

How do I get a trial copy of AUTOBOX 6.0 for Windows?

You can download a data limited trial version right now from the web site. This version is fully functional but is limited to 720 data sets from classic textbooks. You can use your own data, but can only get a one period out forecast. If you have any questions please call us at 215-675-0652 and we probably can clear it up on the phone.

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What is the difference between the batch version of Autobox and the GUI based Autobox?

The "batch" version is designed purely for batch processing and has no GUI and the user passes historical data and receives a forecast (of course the analytical process is always an optional by-product). The engine is classified as a command driven version. It can be installed in a current decision support systems providing an incredible amount of analytical power. On the other hand the AUTOBOX 6.0 is designed as both an interactive program and a batch program. As delivered the user can select to add the BATCH option thus increasing his ability to process thousands of series. This upscale workstation version of the engine (RISC,VAX etc.) allow a user to drive the BATCH from their decision support system by packaging the data in an encrypted form thus tremendously speeding up his mass production of forecasts.

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What does the 30 series limit in a Transfer Function mean?

A transfer function is simply a more powerful version of an ordinary multiple regression. When we talk about 30 series in a mode , we mean at most 29 inputs. If you start with a univariate model then AUTOBOX will at most be able to include 29 dummy or intervention series in its augmentation process. Essentially the identification of intervention variables leads to a multiple series model. The inclusion of causal variables and interventions can quickly deplete the 29 open positions.

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When you describe the maximum number of data series in each database, what does this refer to?

This aspect of the software was incorporated for DOS 3.0 and plays no role in AUTOBOX 6.0. Essentially it was a way to allow a user to store up to a specified number of series in a database. The larger the number the higher the price. A time series is a collection of readings. A database is a collection of time series and a catalog is a collection of databases.

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Is there a maximum number of databases?

No. AUTOBOX does not place an upper limit on the number of databases.

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What does the user need to supply to build models with Autobox?

The data, the time period, the periodicity of the data(e.g. monthly), and the type of data stochastic(random) or deterministic(dummy variable).

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If I buy a basic version of your package and I want to upgrade to a more expensive version, will I only pay for the difference in price or will I have to pay for the full amount of the new version?

AFS does not encourage customers to purchase inexpensive versions and move up. Our policy is that we will provide a full credit toward any trade up or trade-in for the first 30 days. For trade ins between 30 and 60 days we will provide a 50% credit. After that you would have to pay the full price. Thus if you bought the $800 version and decided within 30 to 60 days that you had made a mistake and wanted a $1,400 version, you would have to pay an additional $1,000 ( $1400 less the 50% trade in on the $800 version). It's best to fully understand your needs. We will be glad to help you and suggest the program that best meets your needs. Call us at 215-675-0652 and we will explain this to you in full.

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What does the user need to supply to build models with Autobox?

The data, the time period, the periodicity of the data(e.g. monthly), and the type of data stochastic(random) or deterministic(dummy variable).

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How many causal variables can be used?

The user can specify up to 29 independent variables. Autobox will identify intervention variables which are included as part of the 29 maximum ( smaller versions are limited to 5 inputs ).

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How many observations can be used in an Autobox version 6.0 model?

There can be a maximum of 10,000 observations for any given analysis. It would be most unlikely that a model's parameters would remain constant over that time let alone the model. Autobox's "Test For Constancy of Parameters" will identify if the parameters have changed and at the user's option to ignore the data prior to the point in time when the change occurred. Smaller versions are available with a maximum length of 100 and 300 respectively.

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Are there exception reports that identify high/low series?

Yes, it can detect level shifts, pulses, seasonal pulses, changes in variances and local time trends. These tools provide the user with an early warning system that highlights which series are experiencing significant changes.

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Can Autobox store model forms for future use?

Yes, the system can store model forms. These models can be used as either starting points for the next period's processing or can be used for the forecasting phase thereby reducing job time.

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Can Autobox include promotional variables in demand forecasting applications?

Yes, the user can specify dummy variables into the modeling process. Autobox can identify lead and lag relationships due to the promotion. If the user fails to include the promotion the system would most likely identify the omission and account for it through intervention detection, but this does not cure the forecast values!. Promotional variables can also be entered as quantitative as compared to qualitative variables, depending on the user's needs.

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How is missing data and abnormal data handled?

Intervention detection will correct for any unusual data. AUTOBOX will replace missing observations omitted from the initial importation by developing smoothed values via interpolation.

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Does Autobox provide forecast accuracy measurement statistics?

Yes, MAPE,MAD,BIAS etc.

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Can Autobox use exponential smoothing/Holt-Winters/etc?

Yes, but these are particular forms of ARIMA which have model forms that are "assumed" whereas Transfer Function and ARIMA modeling procedures make no assumptions about the model form and generate the model parameters solely on the pattern inherent in the data.

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Can the "forecast engine" that drives Autobox be integrated into existing systems?

Yes, this portability can allow users to integrate Autobox into production planning and decision support systems. We have a DLL that can be called using C code that we have a available.

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Can data be imported/exported?

Yes, Flat files and XLS formats are recognized.

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What platforms can the system run on?

Autobox run on Windows platforms. Additionally it can run on any operating system which has a fortran compiler. The program is Fortran based which is portable.

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Can it simulate what-if scenarios?

Yes, the user can vary the future values of the independent variables and re-model to see the effect of different scenarios.

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Are there graphs to view the analysis?

Yes, graphing is sometimes the best way to visualize relationships between the actuals and forecasted data. Statistics are a numerical way of describing data and relationships between datasets. Often a combination of the two descriptive methods (graphical and statistical) can help an analyst build a superior model.

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Is there on-line help/tutorials?

Yes, we have manuals for all of our products to provide help for terms, usage and every selection that you will have. We have also provided a tutorial to provide more "hands-on" training.

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Does AFS provide training for Autobox?

Yes, call for details.

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Is there a help desk?

Yes, it's open from 8am-8pm (EST) Monday though Friday, though you can probably catch us in on some weekends. Dial 215-675-0652.

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What measures does AUTOBOX provide for actually measuring forecast performance?

AUTOBOX provides a comprehensive summary of forecasting performance and allows for forecast errors to be tracked by origin and by lead time. In a sentence one 12 period out forecast error is not the same as twelve 1 period out forecast errors. Kind of obvious but most people never think of tracking performance from different origins.

ACTUAL DATA & FOUR PERIOD OUT FORECASTS FROM SIX ORIGINS (LEAD TIME = 4 ; ORIGINS = 6)
ACTUAL
397
378
472
370
395
427
ORIGIN\DATE
1984/3
1984/4
1984/5
1984/6
1984/7
1984/8
1984/2
308
328
399
355
1984/3
 
347
472
387
431
1984/4
396
404
426
439
1984/5
421
436
441
1984/6
444
448
1984/7
444

Note: We have 6 estimates of a one-period out forecast error

Note: We have 5 estimates of a two-period out forecast error

Note: We have 4 estimates of a three-period out forecast error

Note: We have 3 estimates of a four-period out forecast error

Measures To Assess Forecast Model Performance

The above table contains all the raw data necessary to assess how predictable the future is for alternative lead times. The point is simple and profound. Forecasting accuracy from a single launch point generates correlated forecast errors. Forecast error analyses should use a number of different origins and a number of lead times. To reiterate, a set of historical values are used to perform some modeling activity, be it automatic or not, in order to come up with a model and a set of coefficients. These are then fixed and each of the withheld observations are then used as the launching point for a new set of forecasts. With this approach the new observations don't fully participate in the modeling process and only affect the forecast but not the model form nor its parameters.

Typical Output Tables From AUTOBOX

VALUES ARE IN TERMS OF THE ORIGINAL METRIC
Number of Actuals
3
Forecast Mean Deviation (Bias)
469.327
Forecast Mean Percent Error
1.20294
Forecast Mean Absolute Deviation
1601.47
Forecast Mean Absolute % Error
4.26474
Forecast Variance (Precision)
.39e+077
Forecast Bias Squared (Reliability)
220268
Forecast Mean Square Error (Accuracy)
.41E+07
Relative Absolute Error
.3969

Typical Output Tables From AUTOBOX (MORE)

Lead Time
MEAN DEVIATION (BIAS)
MEAN % ERROR
MEAN ABSOLUTE DEVIATION
MEAN ABSOLUTE % ERROR
1
.18E+04
4.49
.41E+04
10.75
2
.22E+04
5.49
.36E+04
12.35
3
.38E+04
5.49
.48E+04
15.75
4
.15E+04
2.29
.21E+04
5.75

Typical Output Tables From AUTOBOX (MORE)

Lead Time
VARIANCE (PRECISION)
BIAS SQUARED (RELIABILITY)
MEAN SQUARE ERROR (ACCURACY)
RELATIVE ABSOLUTE ERROR
1
.23E+08
.32E+07
.26E+08
.54
2
.24E+08
.36E+07
.24E+08
.62
3
.24E+08
.56E+07
.34E+08
.39
4
.14E+08
.56E+07
.44E+08
.34

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