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Numerics by Stata can support any of the data sizes listed above in an embedded environment.Īll the above flavors have the same complete set of features and include PDF documentation. Stata/BE can have at most 798 independent variables in a model. Stata/BE allows datasets with as many as 2,048 variables and 2 billion observations. Stata/SE can analyze up to 2 billion observations. Stata/SE and Stata/MP can fit models with more independent variables than Stata/BE (up to 10,998). Stata/SE and Stata/BE differ only in the dataset size that each can analyze. Stata/MP can analyze 10 to 20 billion observations given the current largest computers, and is ready to analyze up to 1 trillion observations once computer hardware catches up. Stata/MP can also analyze more data than any other flavor of Stata.
#STATA MP 10 LICENSE#
For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). Stata/MP, Stata/SE, and Stata/BE all run on any machine, but Stata/MP runs faster. With more than two cores or processors, Stata/MP is even faster. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. Stata/MP is the fastest and largest version of Stata.
#STATA MP 10 SOFTWARE#
Stata Software is available in 3 different flavours T his is a great way to explore all of the capabilities of Stata. You can even access the dialog boxes for each command directly from the online help system. You can completely reshape your data, create group-level variables for panel or longitudinal data, graph a receiver operating characteristics (ROC) curve or impulse-response function (IRF), perform a case-control analysis, estimate a random-effects count-data model or a Cox proportional hazards model, or compute marginal effects from a nonlinear estimator.
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With Stata's menus and dialogs, you can easily point and click or drag and drop your way to all of Stata's statistical, graphical, and data management features. Stata is not sold in modules, which means you get everything you need in one package.Įasy to learn yet fully programmable for the most demanding data management and statistical requirements. Stata statistical software is a complete, integrated statistical software package that provides everything you need for data analysis, data management, and graphics. Easy to learn but mighty scripting language.
#STATA MP 10 SERIES#
Flexible and especially powerful for analysis of time series.Wide range of statistical and graphical methods.No matter if you are a student or a senior researcher, there is always the right version of Stata available: Stata/BE, Stata/SE and Stata/MP The large amount of different statistical methods helps scientists in all fields of applications (Social science, econometrics, epidimiology, medical research). Typically Stata is used in research and development. You can use it for descriptive statistics, hypothesis testing and visualization of data. Stata produces all kinds of classical statistics. A mighty scripting language completes the package.
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Kaplan-Meier-curves are the way to analyse survival times, while mixed models help to analyse panel data. Further you are able to model volatility using GARCH-models in Stata. Stata provides not only the basic time series models like ARIMA but even the multivariate equivalents (VAR/VEC-Models) as well. Stata's expertise lies in the analysis of time based data.