- Automatically and accurately determines the best probability distribution for your data set in seconds
- Distribution-selection algorithm is based on 33 years of research and on experimentation with 35,000 data sets.
- Provides an absolute evaluation of the “best” distribution – this is a critical capability!
- Standard mode contains features sufficient for 95 percent of all analyses and focuses the user on those features that are really important.
- Advanced mode contains numerous additional features for the sophisticated user.
- Allows you to switch from one mode to another during an analysis
- Sample sizes up to 100,000
- Gives you access to 40 probability distributions (click here for a list)
- Chosen distribution is put into the proper format for direct input to 19 simulation-software products (click here for a list).
- Technically correct chi-square, Kolmogorov-Smirnov, and Anderson-Darling
goodness-of-fit tests - Provides more than 30 high-quality plots of your data (click here for examples)
- Allows you to plot any number of distributions on the same graph, making comparisons easy
- Histograms can be interactively updated.
- Generation of random values from any distribution
- Distribution viewer allows you to interactively see characteristics of a distribution without entering data (click here for an illustration).
- Batch-mode capability allows the user to analyze a large number of data sets with only a few keystrokes (see Versions for availability).
- Local area network (LAN) versions
- Module for determining if a data set is a random sample, a requirement for many statistical techniques
- Module for determining whether “similar” data sets are homogeneous and, thus, can be merged
- Helps you pick a distribution in the absence of data, including models for task times and for random equipment breakdowns
- Comprehensive context-sensitive help for all menus and results screens
- Tutorials on topics such as available probability distributions and goodness-of-fit tests
- User’s Guide with 8 complete examples
| Discrete-Event Simulation Versions | Simulation Products Supported |
|---|---|
| Professional (has batch mode) | AnyLogic, Arena, AutoMod, AutoSched AP, Crystal Ball, ExtendSim, FlexSim, MedModel, Micro Saint, OPNET Modeler, ProcessModel, ProModel, @Risk, ServiceModel, Simio, SIMPROCESS, SIMUL8, SLX, WITNESS |
| University | Same as Professional, but without batch mode |
| ExtendSim | ExtendSim |
| SIMUL8 | SIMUL8 |
Each product is a registered trademark of its respective company.
Japan:
KOZO KEIKAKU ENGINEERING
Operations Research Department
4-5-3, Chuo, Nakano-ku
Tokyo, Japan 164-0012
81-3-5341-1065
Contact: Yojiro Ohta (ohta@kke.co.jp)
www.kke.co.jp
Korea:
ATWORTH
2F, 30-1, DongJa-Dong
Yongsan-Gu
Seoul, Korea 140-821
82-2-318-2320
Contact: Young-Suk Park (yspark@atworth.co.kr)
www.atworth.co.kr
Latin America:
Paragon Consulting
Rua Clodomiro Amazonas
1435 5° andar
San Paolo, Brazil
55-11-3849-8757
Contact: Erica Muzel (erica@paragon.com.br)
www.paragon.com.br
Dr. Averill M. Law, President of Averill M. Law & Associates, is one of the world’s foremost experts on simulation modeling and distribution fitting. He is the author of the textbook Simulation Modeling and Analysis (Fourth Edition), which has more than 135,000 copies in print. This book contains the most comprehensive and practical discussion of fitting probability distributions to data that is available.
He has been a simulation consultant to numerous organizations including Accenture, Boeing, Booz Allen & Hamilton, ConocoPhillips, Defense Modeling and Simulation Office, Hewlett-Packard, ITT, Kimberly-Clark, M&M/Mars, Monsanto, Oak Ridge National Lab, SAIC, Sandia National Labs, 3M, Tropicana, U.S. Air Force, U.S. Army, U.S. Marine Corps, U.S. Navy, and Xerox.
Dr. Law has presented more than 500 simulation short courses in 18 countries. He has been the keynote speaker at simulation conferences around the world. Dr. Law is the author of numerous technical papers on simulation, statistics, operations research, manufacturing, and communications. He wrote a regular column on simulation for Industrial Engineering magazine. He won the 2009 INFORMS Simulation Society Lifetime Professional Achievement Award.
Dr. Law has been a tenured faculty member at the University of Wisconsin, Madison and the University of Arizona. He has a Ph.D. in industrial engineering and operations research from the University of California, Berkeley.