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  2. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    ISBN 978-1-4039-1800-0. Renfro, Charles G. (2004). Computational Econometrics: Its Impact on the Development of Quantitative Economics. IOS Press. ISBN 1-58603-426-X. Zhu, Xiaoping; Kuljaca, Ognjen (2005). "A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF).

  3. Stata - Wikipedia

    en.wikipedia.org/wiki/Stata

    Stata's proprietary file formats have changed over time, although not every Stata release includes a new dataset format. Every version of Stata can read all older dataset formats, and can write both the current and most recent previous dataset format, using the saveold command. [11]

  4. Permutational analysis of variance - Wikipedia

    en.wikipedia.org/wiki/Permutational_analysis_of...

    Permutational multivariate analysis of variance (PERMANOVA), [1] is a non-parametric multivariate statistical permutation test. PERMANOVA is used to compare groups of objects and test the null hypothesis that the centroids and dispersion of the groups as defined by measure space are equivalent for all groups. A rejection of the null hypothesis ...

  5. Free statistical software - Wikipedia

    en.wikipedia.org/wiki/Free_statistical_software

    One of the first completely free to use and open source statistical software was R, first released in 2000. [1] Some of the free software packages are from governments, for example Epi Info, which is from CDC [4] (Centers for Disease Control and Prevention). Some other software packages are from smaller or independent organizations or universities.

  6. Autoregressive moving-average model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_moving...

    Stata includes the function arima. for ARMA and ARIMA models. SuanShu is a Java library of numerical methods that implements univariate/multivariate ARMA, ARIMA, ARMAX, etc models, documented in "SuanShu, a Java numerical and statistical library" .

  7. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    1. Estimate propensity scores, e.g. with logistic regression: Dependent variable: Z = 1, if unit participated (i.e. is member of the treatment group); Z = 0, if unit did not participate (i.e. is member of the control group). Choose appropriate confounders (variables hypothesized to be associated with both treatment and outcome)

  8. PDF - Wikipedia

    en.wikipedia.org/wiki/PDF

    Before PDF version 1.5, the table would always be in a special ASCII format, be marked with the xref keyword, and follow the main body composed of indirect objects. Version 1.5 introduced optional cross-reference streams, which have the form of a standard stream object, possibly with filters applied. Such a stream may be used instead of the ...

  9. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.