Forecasting and Management of Technology, Second Edition
by Thomas W. Mason, Alan Thomas Roper, Alan L. Porter, Jerry Banks, Scott W. Cunningham, Frederick A. Rossini
6.8 Software Suggestions
6.8.1 Software for Regression
Microsoft Excel was used to build the regression models described in this chapter because it is so widely available. An Excel Trend macro has been offered (Technology Policy and Assessment Center 2010) to facilitate calculation of the models described.
Much more powerful statistical software is available. For example, Minitab is very easy to use and has a lot of capability. You can learn more about it at Minitab (2010). A trial download of the software is available at no cost. One of two gold standards for statistical software is SPSS. Find out more about it at SPSS (2010). The other gold standard is SAS. Find out more about it at SAS (2010).
Bayesian statistics can be computed within Minitab® 15 (Minitab 2010). A book by Albert uses the language R to compute Bayesian probabilities. R is a free software environment for statistical computing and graphics (R Project 2010). See Bayesian Computation with R (Albert 2009). It compiles and runs on a wide variety of UNIX platforms, Windows, and MacOS.
6.8.2 Simulation Analysis Software
For Monte Carlo simulation, two products are recommended: @Risk, which is an add-in to Microsoft Excel, and Oracle Crystal Ball. For system dynamics, three software packages are suggested: Powersim©, STELLA©, and Vensim®. Websites are shown in the references.
6.8.3 Software for Analysis of Decisions
Microsoft Office 2007 Visio (Microsoft 2010) or SmartDraw 2009 (SmartDraw 2010), among many others, could ...
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