REGISTER

FR
Search
×
FR

Placeholder headline

This is just a placeholder headline

API SPEC 14A: Subsurface Safety Valve and Annular Safety Valve Equipment

$

448

BUY NOW

Placeholder headline

This is just a placeholder headline

API SPEC 16C: Choke and Kill Equipment

$

336

BUY NOW

Placeholder headline

This is just a placeholder headline

API SPEC 14A: Addendum 1

$

0

BUY NOW

Placeholder headline

This is just a placeholder headline

API RP 652: Linings of Aboveground Petroleum Storage Tank Bottoms

$

294

BUY NOW

Placeholder headline

This is just a placeholder headline

API SPEC 16C: Errata 3

$

0

BUY NOW

ISO 28640:2010

ISO 28640:2010 Random variate generation methods

CDN $351.00

SKU: 1e30dcccc63d Category:

Description

ISO 28640:2010 specifies methods for generating uniform and non-uniform random variates for Monte Carlo simulation purposes. Cryptographic random number generation methods are not included. ISO 28640:2010 is applicable, inter alia, by

  • researchers, industrial engineers or experts in operations management, who use statistical simulation,
  • statisticians who need randomization related to SQC methods, statistical design of experiments or sample surveys,
  • applied mathematicians who plan complex optimization procedures that require the use of Monte Carlo methods, and
  • software engineers who implement algorithms for random variate generation.
Edition

1

Published Date

2010-03-08

Status

PUBLISHED

Pages

54

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO 28640:2010 specifies methods for generating uniform and non-uniform random variates for Monte Carlo simulation purposes. Cryptographic random number generation methods are not included. ISO 28640:2010 is applicable, inter alia, by

  • researchers, industrial engineers or experts in operations management, who use statistical simulation,
  • statisticians who need randomization related to SQC methods, statistical design of experiments or sample surveys,
  • applied mathematicians who plan complex optimization procedures that require the use of Monte Carlo methods, and
  • software engineers who implement algorithms for random variate generation.

Previous Editions

Can’t find what you are looking for?

Please contact us at: