Stata MP4 16 Student version for 12 months English Item No.: 580631-547 € 353,57 (incl. Tax) Students Germany. Stata IC 16 Student 1 year rent license / 1st user English Item No.: 608185-547 € 102,01 (incl. Tax) Students Germany. Stata SE 16 Student 1 year rent license / 1st user English Item No.: 608188-547 € 178,10. Because Stata is distributed from one of UNH's servers, you must be connected to UNH's network both to install Stata initially and every subsequent time you wish to run Stata. The three options for being connected are 1) a wired Ethernet connection on the UNH campus, 2) the UNH-Secure wireless network on campus, and 3) a connection via the UNH.
Stata/MP is the fastest and largest edition of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster.
Stata/MP, Stata/SE, and Stata/IC all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.
Stata/MP can also analyse more data than any other edition of Stata. Stata/MP can analyse 10 to 20 billion observations given the current largest computers, and is ready to analyse up to 1 trillion observations once computer hardware catches up.
Stata/SE and Stata/IC differ only in the data set size that each can analyse. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyse up to 2 billion observations.
Stata/IC allows data sets with as many as 2,048 variables and 2 billion observations. Stata/IC can have at most 798 independent variables in a model.
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Numerics by Stata can support any of the data sizes listed above in an embedded environment.
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For a complete list of available features, visit the Stata website.