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In the statistical analysis of observational data, propensity score matching (PSM) is a statistical matching technique that attempts to estimate the effect of a treatment, policy, or other intervention by accounting for the covariates that predict receiving the treatment.
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Stata was initially developed by Computing Resource Center in California and the first version was released in 1985. [6] In 1993, the company moved to College Station, Texas and was renamed Stata Corporation, now known as StataCorp. [ 1 ]
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).
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.
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.
The origin of the theorem is uncertain, but it was well-established in the realm of linear regression before the Frisch and Waugh paper. George Udny Yule's comprehensive analysis of partial regressions, published in 1907, included the theorem in section 9 on page 184. [8]
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