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Stata utilizes integer storage types which occupy only one or two bytes rather than four, and single-precision (4 bytes) rather than double-precision (8 bytes) is the default for floating-point numbers. Stata's proprietary output language is known as SMCL, which stands for Stata Markup and Control Language and is pronounced "smickle". [10]
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]
Product One-way Two-way MANOVA GLM Mixed model Post-hoc Latin squares; ADaMSoft: Yes Yes No No No No No Alteryx: Yes Yes Yes Yes Yes Analyse-it: Yes Yes No
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 There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics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.
"EconTerms - Glossary of Economic Research "Fama–MacBeth Regression" ".Archived from the original on 28 September 2007; Software estimation of standard errors—Page by M. Petersen discussing the estimation of Fama–MacBeth and clustered standard errors in various statistical packages (Stata, SAS, R).
Statistica originally derived from a set of software packages and add-ons that were initially developed during the mid-1980s by StatSoft.Following the 1986 release of Complete Statistical System (CSS) and the 1988 release of Macintosh Statistical System (MacSS), the first DOS version (trademarked in capitals as STATISTICA) was released in 1991.
This type model can be estimated with Eviews, Stata, Python [8] or R [9] Statistical Packages. Recent research has shown that Bayesian vector autoregression is an appropriate tool for modelling large data sets. [10]
In Stata, one specifies the full regression, and then enters the command estat hettest followed by all independent variables. [9] [10] In SAS, Breusch–Pagan can be obtained using the Proc Model option. In Python, there is a method het_breuschpagan in statsmodels.stats.diagnostic (the statsmodels package) for Breusch–Pagan test. [11]