CompStat (Berlin)

Awarded MDTech Prize for:
Best Software Contribution

American Statistical Association
Statistical Computing Section, Joint Statistical Meetings 2000

Best Contributed Presentation Award



Journal of Statistical Software  v47  –  April 2012
mathStatica 2.5

by Barrie Stokes

… the ‘look-and-feel-and-operation’ of mathStatica is completely consistent with that of Mathematica, which for me is a huge plus.

The online help and the e-book are beautifully integrated and cross-linked, and work just like Mathematica’s help …

When combined with the symbolic computational (and numerical and graphical) power of Mathematica itself, mathStatica offers the mathematical statistician – and any scientist interested in the ‘nuts-and-bolts’ of basic and advanced statistical ideas – both a first class exposition in the form of the accompanying e-book, and a flexible and highly developed system for carrying out theoretical and numerical statistical manipulations.

Read the FULL review

Scientific Computing World  –  January 2012
mathStatica 2.5

by Felix Grant

Comparing mathStatica to raw Mathematica over the same functions saw improvement by factors of up to 30, though somewhere between 5 and 10 was the average figure across all trials.

... a thoroughly comprehensive upgrade to what was already a very impressive product that is effectively unique in its market niche.

Read the FULL review

Scientific Computing World – March 2007

by Felix Grant

mathStatica is a powerful package ideal for applied and theoretical statistics ... In both contexts, applied and educational, it was impressive.

... a model of Mathematica tools design

Read the FULL review

Journal of Time Series Analysis – Sept 2005
Mathematical Statistics with Mathematica pp.780-2

by C.T.J. Dodson

... a valuable reference for anyone who needs to use mathematical statistical methods for teaching or practice.

  Read the FULL review (.pdf)

The Economic Record – December 2003
Mathematical Statistics with Mathematica pp.521-2

by Malcolm Quine

What distinguishes mathStatica from statistical packages such as S-PLUS, R, SPSS and SAS is its ability to deal with the algebraic/symbolic problems that are the main concern of mathematical statistics. ...
This is what I see as the main strength of mathStatica : its potential use as a research tool by workers in a wide range of disciplines involving mathematical statistics, from econometrics and engineering to biometrics and the social sciences.

  Read the FULL review (.pdf)

Kwantitatieve Methoden – Volume 23 (issue 70), 2003
Mathematical statistics with Mathematica

by J. M. van Doorn

Het is echter een ideale combinatie met een traditioneel tekstboek. ... Juist de combinatie van de gedrukte en electronische versie maakt dit boek zo aantrekkelijk.

  Read the FULL review (.pdf)     (in Dutch)

Journal of Applied Econometrics – August 2003

by H. D. Vinod

No other software offers anything even close. ...
For the modest price, mathStatica is a wonderful new package with a new philosophy. ... I strongly recommend mathStatica as a great concept-learning and research tool, especially for rigorously evaluating the properties of many econometric estimators in teaching.

  Read the FULL review (.pdf)

South African Statistical Association Newsletter – June 2003
Review of 'Mathematical Statistics with Mathematica'

by Professor Linda M. Haines

This book is unusual and impressive! ... It is an excellent and intriguing text.

  Read the FULL review (.pdf)


AMSTAT News – December 2002
JASA Highlights p.9

by Thomas A. Louis, Martin A. Tanner and Russell V. Lenth

With advancing technology, most work in applied statistics involves computers, but it is less common to use computers to do symbolic manipulations in mathematical statistics. After years of development, Rose and Smith recently published Mathematical Statistics with Mathematica, reviewed comprehensively by B. D. McCullough. The book is accompanied by a Mathematica add-on named mathStatica, which implements and simplifies many common manipulations in mathematical statistics -- for example, functions to derive moments, or the distribution of a transformed random variable. The product-cumulant formulas so painstakingly derived by Kendall and Stuart can be found with a few keystrokes, and in so doing, Rose and Smith have even discovered a few errors in their classic reference. Potentially, mathStatica (and perhaps future developments along the same lines) will greatly change the way many people do research and teaching in mathematical statistics.

Journal of the American Statistical Association – Dec 2002
A Review of 'Mathematical Statistics with Mathematica' pp.1202-3

by McCullough, B. D.

This book has the potential to revolutionize the teaching of mathematical statistics. ... I received nothing other than a wonderful time playing with the included software.

  Read the FULL review (.pdf)



Mathematical Statistics with Mathematica  by Rose and Smith is destined to revolutionize the way theoretical and applied statistics is taught and learned. The mathStatica software allows the reader to focus attention on statistical concepts and minimize distractions caused by purely mathematical difficulties. Moreover, the reader is placed in an interactive and experimental mode with the subject, whereby problems and illustrations are live, customizable, and continue to impact learning as long as the reader wishes to explore them. This is a book that every teacher, student, and practitioner of statistics will want on their shelf.

Prof. Ron Mittelhammer, Washington State University