Modelling correlated random variables

Verfasser / Beitragende:
[I.M. Sobol, E.E. Myshetskaya]
Ort, Verlag, Jahr:
2003
Enthalten in:
Monte Carlo Methods and Applications, 9/1(2003-01-01), 67-76
Format:
Artikel (online)
ID: 378869094
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245 0 0 |a Modelling correlated random variables  |h [Elektronische Daten]  |c [I.M. Sobol, E.E. Myshetskaya] 
520 3 |a A sampling problem with incomplete data is considered: modelling of a random vector when only marginal distributions of its components and their correlation coefficients are known. Simplest modelling algorithms for such problems include repeated use of random values, and the realized joint distributions are singular. An alternative method without singularities is proposed. 
540 |a Copyright 2003, Walter de Gruyter 
690 7 |a Monte Carlo  |2 nationallicence 
690 7 |a quasi-Monte Carlo  |2 nationallicence 
690 7 |a correlation  |2 nationallicence 
700 1 |a Sobol  |D I.M.  |u Institute for Mathematical Modelling of the Russian Academy of Sciences, 4 Miusskaya Square, Moscow 125047, Russia.  |4 aut 
700 1 |a Myshetskaya  |D E.E.  |u Institute for Mathematical Modelling of the Russian Academy of Sciences, 4 Miusskaya Square, Moscow 125047, Russia.  |4 aut 
773 0 |t Monte Carlo Methods and Applications  |d Walter de Gruyter  |g 9/1(2003-01-01), 67-76  |x 0929-9629  |q 9:1<67  |1 2003  |2 9  |o mcma 
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