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SciPy – Python library for scientific computing that contains the stats sub-package which is partly based on the venerable |STAT (a.k.a. PipeStat, formerly UNIX|STAT) software scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression, etc.)
JASP (Jeffreys’s Amazing Statistics Program [2]) is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology . 21 (2).
JMP (pronounced "jump" [1]) is a suite of computer programs for statistical analysis and machine learning developed by JMP, a subsidiary of SAS Institute.The program was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems.
The program has also been used in various health and nutrition-related studies. [2] [3] [4] The software is heavily used in manufacturing chemicals, pharmaceuticals, medical devices, automobiles, food and consumer goods. It is also widely used in mining, [5] environmental studies, [6] [7] and basic R&D. [8]
Statistics and Its Interface is a quarterly peer-reviewed open access scientific journal covering the interface between the field of statistics and other disciplines. The journal was established in 2008 and is published by International Press. The editor-in-chief is Heping Zhang (Yale University).
The program has implemented several information systems for chemical emergency response and public education, such as the Toxicology Data Network, TOXMAP, Tox Town, Wireless Information System for Emergency Responders, Toxmystery, and the Household Products Database. These resources are accessible without charge on the internet.
The forerunner of RATS was a FORTRAN program called SPECTRE, written by economist Christopher A. Sims. [2] SPECTRE was designed to overcome some limitations of existing software that affected Sims' research in the 1970s, by providing spectral analysis and also the ability to run long unrestricted distributed lags. [3]