libstatistics-test-randomwalk-perl 0.02-1 source package in Ubuntu

Changelog

libstatistics-test-randomwalk-perl (0.02-1) unstable; urgency=low

  [ Jonathan Yu ]
  * New upstream release
  * Use new short debhelper rules format
  * Standards-Version 3.9.1 (no changes)
  * Refresh copyright information
  * Use new 3.0 (quilt) source format

  [ Nathan Handler ]
  * debian/watch: Update to ignore development releases.

  [ Salvatore Bonaccorso ]
  * debian/control: Changed: Replace versioned (build-)dependency on
    perl (>= 5.6.0-{12,16}) with an unversioned dependency on perl (as
    permitted by Debian Policy 3.8.3).

  [ Ryan Niebur ]
  * Update jawnsy's email address
 -- Ubuntu Archive Auto-Sync <email address hidden>   Sat,  30 Apr 2011 13:10:52 +0000

Upload details

Uploaded by:
Ubuntu Archive Auto-Sync on 2011-04-30
Uploaded to:
Oneiric
Original maintainer:
Debian Perl Group
Architectures:
all
Section:
perl
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2017-10-24 universe perl
Artful release on 2017-04-20 universe perl
Xenial release on 2015-10-22 universe perl
Trusty release on 2013-10-18 universe perl
Precise release on 2011-10-13 universe perl

Builds

Oneiric: [FULLYBUILT] i386

Downloads

File Size SHA-256 Checksum
libstatistics-test-randomwalk-perl_0.02.orig.tar.gz 5.4 KiB 5fb26c9175a2eb41a0a77f452be523cbb777e7bf70c9b75349eb4167360cf6c6
libstatistics-test-randomwalk-perl_0.02-1.debian.tar.gz 2.3 KiB aeb46516fb9eb5b459e98493d0325772d78b325851ebf24549e66c54efbbb2bd
libstatistics-test-randomwalk-perl_0.02-1.dsc 2.2 KiB 0cf70fb5429c2ff2ef27210543d44cc048bae7c6a8b04dcfc6e37af02e2cde2b

Available diffs

View changes file

Binary packages built by this source

libstatistics-test-randomwalk-perl: module to perform a Random Walk statistical test

 Statistics::Test::RandomWalk implements a Random Walk test of a random number
 generator as outlined in Blobel et al. Basically, it tests that the numbers
 (in the interval between 0 and 1) generated by a random number generator are
 distributed evenly. It divides [0,1] into n evenly sized bins and calculates
 the number of expected and actual random numbers in the bin. (In fact, this
 counts the cumulated numbers, but that works the same.)