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2. Computational statistics - Wikipedia

   en.wikipedia.org/wiki/Computational_statistics

   The terms 'computational statistics' and 'statistical computing' are often used interchangeably, although Carlo Lauro (a former president of the International Association for Statistical Computing) proposed making a distinction, defining 'statistical computing' as "the application of computer science to statistics", and 'computational ...

3. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...

4. SPSS - Wikipedia

   en.wikipedia.org/wiki/SPSS

   SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc. , it was acquired by IBM in 2009.

5. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. [6]

6. JASP - Wikipedia

   en.wikipedia.org/wiki/JASP

   Summary statistics: Apply common Bayesian tests from frequentist summary statistics for t-test, regression, and binomial tests. Time Series : Time series analysis. Visual Modeling : Graphically explore the dependencies between variables.

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8. Free statistical software - Wikipedia

   en.wikipedia.org/wiki/Free_statistical_software

   There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.

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