Streamline Statistical Inference

New Wolfram applications helps draw predictions out of data quickly.

New Wolfram applications helps draw predictions out of data quickly.

By DE Editors

The Statistical Inference Package from Wolfram Research (Champaign, IL)streamlines the process of using statistical inference to make reliablescientific predictions from your data by enabling you to createsophisticated models and gain insights into the world described by yourdata quickly. Said to be easy to use, this add-on leveragesMathematica’s numerics, symbolics, graphics, and programmingcapabilities to provide a seamless environment for doingclassical-likelihood-based statistical inference.

The Statistical Inference Package provides more than 30 statisticaldistributions and a sizeable collection of functions for defining newmodels. Key features include maximum likelihood estimation;profile-likelihood-based confidence intervals for real-valued linear ornonlinear smooth parametric functions; and likelihood ratio tests forgeneral parametric hypotheses. Additionally, the Statistical InferencePackage enables automatic handling of censored data and provides forrandom observation from any built-in statistical distribution. It alsocomes with built-in models and stochastic processes, such as logisticand Poisson regression, mixed and mixture models, Markov processes,Markov chains, and hidden Markov models.

Statistical Inference Package requires Mathematica 5.0 or higher forWindows, Mac OS X, or Linux. It costs $1000 and is available fordownload now. A 25% discount is available to all through March 31,2006. Academic discounts are also available Complete electronicdocumentation and detailed examples are provided.
 
Click here for more details. Click here to download a PDF information sheet.

Share This Article

Subscribe to our FREE magazine, FREE email newsletters or both!

Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.


About the Author

DE Editors's avatar
DE Editors

DE’s editors contribute news and new product announcements to Digital Engineering.
Press releases may be sent to them via [email protected].

Follow DE

Related Topics

Simulate   All topics
#10488