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Non-uniform random numbers
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21	39. Monte Carlo techniques[removed]MONTE CARLO TECHNIQUES Revised September 2011 by G. Cowan (RHUL). Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample random variables go Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2014-08-21 16:38:32 Non-uniform random numbers Mathematical analysis Normal distribution Gamma distribution Rejection sampling Inverse transform sampling Metropolis–Hastings algorithm Probability distribution Beta distribution Statistics Probability and statistics Monte Carlo methods
22	Context RcppZiggurat Accuracy Speed Summary RcppZiggurat: Faster Random Normal Draws Dr. Dirk Eddelbuettel [removed] Add to Reading List Source URL: dirk.eddelbuettel.com Language: English - Date: 2014-07-01 20:00:15 Randomness Box–Muller transform Ziggurat Ancient Near East Western Asia Asia Non-uniform random numbers Information theory Random number generation
23	New URL: http://www.R-project.org/conferences/DSC[removed]Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC[removed]March 20–22, Vienna, Austria ISSN 1609-395X Add to Reading List Source URL: www.r-project.org Language: English - Date: 2014-02-10 04:32:58 Randomness Applied mathematics Monte Carlo methods Random variate Pseudorandom number generators Random number generation Pseudorandomness Normal distribution Box–Muller transform Non-uniform random numbers Probability and statistics Statistics
24	Probability Library Functions SEMPDF SEMPDF PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:34:22 Probability density function Cumulative distribution function Non-uniform random numbers Probability distributions Cauchy distribution Hyperbolic secant distribution Probability theory Mathematical analysis Probability
25	Probability Library Functions SEMCDF SEMCDF PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:34:22 Probability distribution Cumulative distribution function Probability density function Non-uniform random numbers Cauchy distribution Inverse transform sampling Probability theory Mathematical analysis Probability
26	Probability Library Functions UNIPPF UNIPPF PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:34:23 Probability distribution Cumulative distribution function Probability density function Non-uniform random numbers Lévy distribution Inverse transform sampling Probability theory Statistics Mathematical analysis
27	Auxillary COSPDF COSPDF PURPOSE Add to Reading List Source URL: www.itl.nist.gov Language: English - Date: 2013-11-27 15:29:59 Probability distribution Normal distribution Probability density function Cumulative distribution function Non-uniform random numbers Box–Muller transform Algorithmic inference Probability theory Mathematical analysis Statistics
28	37. Monte Carlo techniques[removed]MONTE CARLO TECHNIQUES Revised September 2011 by G. Cowan (RHUL). Monte Carlo techniques are often the only practical way to evaluate difficult integrals or to sample random variables go Add to Reading List Source URL: pdg.lbl.gov Language: English - Date: 2012-06-18 19:20:32 Mathematics Non-uniform random numbers Randomness Estimation theory Normal distribution Gamma distribution Rejection sampling Inverse transform sampling Metropolis–Hastings algorithm Statistics Probability and statistics Monte Carlo methods
29	Candidate Sampling Schemes and Some Important Applications Brian S. Caffo Add to Reading List Source URL: www.biostat.jhsph.edu Language: English - Date: 2007-03-30 05:49:30 Sufficient statistic Conditional probability distribution Non-uniform random numbers Statistics Normal distribution Expectation–maximization algorithm
30	Monte Carlo and the MONTE CARL0 METHOD Add to Reading List Source URL: library.lanl.gov Language: English - Date: 2006-12-18 18:15:47 Randomness Monte Carlo methods Nuclear technology Non-uniform random numbers Pseudorandomness Random number generation Pseudorandom number generator Neutron John von Neumann Physics Mathematics Probability and statistics

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