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Under the assumption of normality of returns, an active risk of x per cent would mean that approximately 2/3 of the portfolio's active returns (one standard deviation from the mean) can be expected to fall between +x and -x per cent of the mean excess return and about 95% of the portfolio's active returns (two standard deviations from the mean) can be expected to fall between +2x and -2x per ...
In the 1991 film Don't Tell Mom the Babysitter's Dead the main character Sue Ellen (portrayed by Christina Applegate) is expected to know how to complete TPS reports.Once handed the insurmountable of paperwork to complete, she passes the work off to a very willing co-worker Cathy (portrayed by Kimmy Robertson) who handles the reports, but is intercepted by Sue Ellen's nemesis who attempts to ...
On March 6, 2018, Kubernetes Project reached ninth place in the list of GitHub projects by the number of commits, and second place in authors and issues, after the Linux kernel. [ 27 ] Until version 1.18, Kubernetes followed an N-2 support policy, meaning that the three most recent minor versions receive security updates and bug fixes. [ 28 ]
The Quick Emulator (QEMU) [3] is a free and open-source emulator that uses dynamic binary translation to emulate a computer's processor; that is, it translates the emulated binary codes to an equivalent binary format which is executed by the machine.
In a very generic sense, the term transactions per second (TPS) refers to the number of atomic actions performed by certain entity per second. In a more restricted view, the term is usually used by the DBMS vendor and user community to refer to the number of database transactions performed per second.
The BER is the likelihood of a bit misinterpretation due to electrical noise ().Considering a bipolar NRZ transmission, we have = + for a "1" and () = + for a "0".Each of () and () has a period of .
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In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).