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The statistical analyses have been performed using the statistical suite StatSoft (2011) Statistica (data analysis software system) version 10.0.
All analyses were carried out using SPSS Answer Tree 3.1 (SPSS Inc., Chicago) and SAS statistical suite software version 9.2 (SAS Institute Inc., Cary, NC, U.S.A).
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In this study, two computational-statistical suites have been used for that purpose: VolSurf (VOLSURF, version 4.0; available from Molecular Discovery Ltd.: London, U.K. http://www.moldiscovery.com) and Cerius2 (Cerius2 version 4.11, available from Accelrys Inc. http://www.accelrys.com).
These tests include DIEHARD [52], NIST statistical test suite [53], and ENT test suite [54].
It is shown that the bit sequences generated at rates up to 2.08 gigabit per second (Gbit/s) pass a standard statistical test suite of randomness.
The resulting chaotic output is shown to pass the NIST SP. 800-22 stestsuitel test suite for pseudo-random number generators without post-processing by only eliminating the statistically defective bits.
We evaluate the randomness of SLC-SPCA utilizing the NIST Statistical Test Suite, and we provide a power and energy comparison of LUT-SR and SLC-SPCA on a Xilinx Zynq 7020 FPGA device.
Referring to the NIST800-22 stestsuitel test suite, we will present and discuss two examples of PRBGs based on DADR, from the point of view of FPGA design and randomness quality.
By way of example, Debian already provides many packages for the R statistical analysis suite.
We used an NIST statistical test suite called "sts-2.1.2" [26] and the recommended parameter settings of AIS 20/31.
For higher sampling rates, larger values of n are needed to achieve verified randomness using the NIST statistical test suite [47].
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