Automatic Forecasting Systems, Inc - Home of Autobox

Automatic Forecasting Systems, Inc - Home of Autobox Time Series Statistical Software that you can use to forecast, identify causality,data cleansing, early warning and use for "what-if" analysis.

Time Series Statistical Software that you can use to forecast, identify causality,data cleanse, early warning and use for "what-if" analysis.

This quote has changed over time.  The use of R and the appeal of FREE software has a PRICE to pay as the R packages lac...
01/19/2021

This quote has changed over time. The use of R and the appeal of FREE software has a PRICE to pay as the R packages lack the sophistication (ie a total of 300 lines of code in the forecast package) that Autobox holds.

This morning's meeting will all be about time series and Autobox.
02/13/2020

This morning's meeting will all be about time series and Autobox.

The Swiss government has been using Autobox to clean outliers from their economic data since 1992.         https://bit.l...
02/10/2020

The Swiss government has been using Autobox to clean outliers from their economic data since 1992. https://bit.ly/2OEqPKg

Boxing Match - Statistica vs. Autobox (Ding Ding!) - Let's get ready to CRUMBLE! https://bit.ly/2RQh2A0
11/13/2018

Boxing Match - Statistica vs. Autobox (Ding Ding!) - Let's get ready to CRUMBLE! https://bit.ly/2RQh2A0

Dell acquired Statistica in 2014 and did what was called  a "major overhaul" and now through the magic of Gartner pixie dust is in the Magic Quadrant for Advanced analytics. Woohoo. Tibco bought it from Dell in 2016.  We stumbled upon an example in the Statistica documentation th...

Autobox Presentation  Conference by Rob FirminLong time collaborator and customer, Rob Firmin, will be presenting at Nov...
11/01/2018

Autobox Presentation Conference by Rob Firmin
Long time collaborator and customer, Rob Firmin, will be presenting at November's upcoming Best Practices Conference with an advanced case of using time series methods from Autobox with output integrated into for city level financial planning.

Policy Stress Tests Integrating Advanced Time Series into , and Public Confidence in Planning
Dr. Rob Firmin
PROCLAMATION
Ongoing analysis supports short and long-range policy decisions for a California municipality. Challenges addressed within include: integration of advanced time series methods into to quantify financial effects forecasts of policy alternatives, anomalous events (e.g. wildfires and earthquakes), in addition to everyday variables (e.g., budget items and interest rate fluctuations); non-ad hoc simulations of forecast errors based on asymmetric time series error predictions; and evolutionary probability distributions around timing of critical financial-event triggers (e.g., advent of inadequate reserves). Packaging of results as easily understood stress tests of policy alternatives—presentable to officials and the public—increases confidence in town fiscal responsibility, and reduces discord at town hall meetings.

Rob will be presenting at November's upcoming Best Practices Conference with an advanced case of using time series methods from Autobox with output integrated into for city level financial planning.

How to adjust for a temporary 12-month level shift in time series?
06/01/2018

How to adjust for a temporary 12-month level shift in time series?

I am working with a time series on monthly base (April 2004 - Oct 2016) in order to identify an ARIMA model and do forecasting. This is the time series I examine: month;volume Apr 04;2.555 Mai 04...

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