Statistics Software For Windows 4,9/5 521 reviews

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(Redirected from List of statistical packages)
  1. Statistics Software For Windows 10
  2. Statistics Software For Windows
Statistics

Statistical software are specialized computer programs for analysis in statistics and econometrics.

  • 4Proprietary

Statistics Software For Windows 10

  1. Stata is a unified software which provides you with the complete package required for data analysis, management and graphics.It is one of the most important softwares available online for statistical analysis.
  2. Descriptive and inferential statistics. Statistics that are easy to use even if your expertise is non-statistical. Easily identify distributions, correlations, outliers and missing values. Key statistical tests include: paired t-test, one and two proportion test, normality test, chi-square test, non-parametric tests.

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror. SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; S-PLUS – general statistics package; Unistat – general statistics package that can also work as Excel add-in; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Visallo - investigative link analysis software. Best Statistical Analysis Software: MAXSTAT. Jul 30, 2014  Home Analytics Statistics 10+ Free Statistical Software for Windows. 10+ Free Statistical Software for Windows. By BA Jul 30, 2014 May 28, 2015. R is probably the most sophisticated statistics software available. The learning curve is fairly steep, but the availability of hundreds of add-on packages mean that almost anything can be. The software works on Windows XP, Windows Vista, Windows 7, Windows 8, Windows 8.1, Windows 10 both Windows 32-bit & 64-bit OS type. It also supports and works fine on the Mac OS X operating system. Keep the popular version IBM SPSS Statistics 20, 21, 22.

Open-source[edit]

gretl is an example of an open-source statistical package
  • ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management
  • ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation
  • Chronux – for neurobiological time series data
  • DAP – free replacement for SAS
  • Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) a software framework for developing data mining algorithms in Java
  • Fityk – nonlinear regression software (GUI and command line)
  • GNU Octave – programming language very similar to MATLAB with statistical features
  • gretl – gnu regression, econometrics and time-series library
  • intrinsic Noise Analyzer (iNA) – For analyzing intrinsic fluctuations in biochemical systems
  • JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods
  • Just another Gibbs sampler (JAGS) – a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS
  • JMulTi – For econometric analysis, specialised in univariate and multivariate time series analysis
  • KNIME - An open source analytics platform built with Java and Eclipse using modular data pipeline workflows
  • LIBSVM – C++ support vector machine libraries
  • mlpack – open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API)
  • Mondrian – data analysis tool using interactive statistical graphics with a link to R
  • Neurophysiological Biomarker Toolbox – Matlab toolbox for. European Journal of Cardio-Thoracic Surgery. 54: 4–9. doi:10.1093/ejcts/ezy169. PMC6005113.
  • ^Wolfram Language Guide: Statistical Data Analysis

External links[edit]

Statistics Software For Windows

  • Statistics software at Curlie
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JMP is the tool of choice for scientists, engineers and other data explorers in almost every industry and government sector. JMP combines dynamic data visualization with powerful statistics, in memory and on the desktop. Interactive and visual, JMP reveals insights that raw tables of numbers or static graphs tend to hide. The pro version of JMP offers all the tools in JMP plus advanced features for more sophisticated analyses, including predictive modeling and cross-validation techniques. Learn more about JMP Statistical Software

JMP, data analysis software for scientists and engineers, links dynamic data visualization with powerful statistics, on the desktop. Learn more about JMP Statistical Software


JMP is the tool of choice for scientists, engineers and other data explorers in almost every industry and government sector. JMP combines dynamic data visualization with powerful statistics, in memory and on the desktop. Interactive and visual, JMP reveals insights that raw tables of numbers or static graphs tend to hide. The pro version of JMP offers all the tools in JMP plus advanced features for more sophisticated analyses, including predictive modeling and cross-validation techniques.

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