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Stata (/ ˈ s t eɪ t ə /, [2] STAY-ta, alternatively / ˈ s t æ t ə /, occasionally stylized as STATA [3] [4]) is a general-purpose statistical software package developed by StataCorp for data manipulation, visualization, statistics, and automated reporting.
Users are guided through the selection of the appropriate basic statistical methods and assignment of the basic statistical on the table column of the data that should be analyzed. The features available within SOFA for statistical analysis are limited compared to those found in Open Source R Statistics Software , which contains a large ...
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
An example is provided by the analysis of trend in sea-level by Woodworth (1987). [9] Here the dependent variable (and variable of most interest) was the annual mean sea level at a given location for which a series of yearly values were available. The primary independent variable was "time".
"Trends in Applied Econometrics Software Development 1985–2008: An Analysis of Journal of Applied Econometrics Research Articles, Software Reviews, Data and Code". Palgrave Handbook of Econometrics .
There are many ways to analyse such data set. One way suggested by MFA is to consider each day as a group of variables in the analysis of the tables (each table corresponds to one date) juxtaposed row-wise (the table analysed thus has rows and x columns).
Multiple imputation can be used in cases where the data are missing completely at random, missing at random, and missing not at random, though it can be biased in the latter case. [14] One approach is multiple imputation by chained equations (MICE), also known as "fully conditional specification" and "sequential regression multiple imputation."
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."