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The following is a list of the major procedures in econometrics and time series analysis that can be implemented in RATS. All these methods can be used in order to forecast, as well as to conduct data analysis. In addition, RATS can handle cross-sectional and panel data: Linear regression, including stepwise.
The terms random-effect meta-regression and mixed-effect meta-regression are equivalent. Although calling one a random-effect model signals the absence of fixed effects, which would technically disqualify it from being a regression model, one could argue that the modifier random-effect only adds to, not takes away from, what any regression model should include: fixed effects.
The following outline is provided as an overview of and topical guide to regression analysis: Regression analysis – use of statistical techniques for learning about the relationship between one or more dependent variables ( Y ) and one or more independent variables ( X ).
DataGraph – visual analysis with linear and nonlinear regression; DB Lytix – 800+ in-database models; EViews – for econometric analysis; FAME (database) – a system for managing time-series databases; GAUSS – programming language for statistics; Genedata – software for integration and interpretation of experimental data in the life ...
The area of each square is proportional to the study's weight in the meta-analysis. The overall meta-analysed measure of effect is often represented on the plot as a dashed vertical line. This meta-analysed measure of effect is commonly plotted as a diamond, the lateral points of which indicate confidence intervals for this estimate.
Windows 95, 98, ME have a 4 GB limit for all file sizes. Windows XP has a 16 TB limit for all file sizes. Windows 7 has a 16 TB limit for all file sizes. Windows 8, 10, and Server 2012 have a 256 TB limit for all file sizes. Linux. 32-bit kernel 2.4.x systems have a 2 TB limit for all file systems.
This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. General tests [ edit ]
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".