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Title: Perfecting Simulations? The Quest for a Perfect Random Number Generator
Url: http://www.intuitor.com/statistics/Simulations.html
Publisher: Intuitor
Description: Pseudo random number generators (PRNG) start with a seed value and will eventually repeat all the numbers they generate in exactly the same order. Putting in the same seed value will give precisely the same set of random numbers. On large scale Monte Carlo simulations (depends on generation of multiple random numbers), care has to be taken to make sure that the PRNG cycle is significantly longer than the quantity of random numbers needed or the pattern in the PRNG cycle can show up as an error producing pattern in the simulation results.
LC Classification: Science -- Mathematics -- Mathematical statistics
Science -- Mathematics -- Numerical analysis -- Numerical simulation. Monte Carlo method
Science -- Mathematics -- Probabilities
Science -- Mathematics -- Probabilities -- Geometric probability. Stochastic geometry. Random sets
GEM Subject: Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Probability
Mathematics -- Statistics
Date Issued: 2001
Resource Type: Instructional Materials
InteractiveResource (DCMI Type Vocabulary)
Mathematics Materials
Reference
Teaching Guides
Format: html
java
Audience: College/University Instructors
Higher Education
Students
Teachers
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Second Cycle
Vocational Training
Language: English
Rights: Intuitor.com
Access Rights: Free access
Date Of Record Release: 2009-02-20 03:00:02 (W3C-DTF)
Date Last Modified: 2009-02-17 12:44:31 (W3C-DTF)
Source: CAUSEweb
Full Record Views: 32
Resource URL Clicks: 5
Cumulative Rating: NOT YET RATED
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