Standard

Urn models for simulation of finite discrete distributions. / Ermakov, S. M.; Pokhodzei, B. B.

In: Industrial Laboratory, Vol. 54, No. 7, 01.1989, p. 816-817.

Research output: Contribution to journal › Article › peer-review

Harvard

Ermakov, SM & Pokhodzei, BB 1989, 'Urn models for simulation of finite discrete distributions', Industrial Laboratory, vol. 54, no. 7, pp. 816-817.

APA

Ermakov, S. M., & Pokhodzei, B. B. (1989). Urn models for simulation of finite discrete distributions. Industrial Laboratory, 54(7), 816-817.

Vancouver

Ermakov SM, Pokhodzei BB. Urn models for simulation of finite discrete distributions. Industrial Laboratory. 1989 Jan;54(7):816-817.

Author

Ermakov, S. M. ; Pokhodzei, B. B. / Urn models for simulation of finite discrete distributions. In: Industrial Laboratory. 1989 ; Vol. 54, No. 7. pp. 816-817.

BibTeX

@article{3d442ef7ece041fd8b125c97402ec0f1,
title = "Urn models for simulation of finite discrete distributions",
abstract = "This paper presents the basic ideas of urn models for the case of a random variable taking the values of 0,1,2,3, and 4, with probabilities 1/16, 4/16, 6/16, 4/16 and 1/16. The advantage of this urn model compared to previous models is seen in applications and the results are clearly superior.",
author = "Ermakov, {S. M.} and Pokhodzei, {B. B.}",
year = "1989",
month = jan,
language = "English",
volume = "54",
pages = "816--817",
journal = "Journal of Parenteral and Enteral Nutrition",
issn = "0148-6071",
publisher = "SAGE",
number = "7",

}

RIS

TY - JOUR

T1 - Urn models for simulation of finite discrete distributions

AU - Ermakov, S. M.

AU - Pokhodzei, B. B.

PY - 1989/1

Y1 - 1989/1

N2 - This paper presents the basic ideas of urn models for the case of a random variable taking the values of 0,1,2,3, and 4, with probabilities 1/16, 4/16, 6/16, 4/16 and 1/16. The advantage of this urn model compared to previous models is seen in applications and the results are clearly superior.

AB - This paper presents the basic ideas of urn models for the case of a random variable taking the values of 0,1,2,3, and 4, with probabilities 1/16, 4/16, 6/16, 4/16 and 1/16. The advantage of this urn model compared to previous models is seen in applications and the results are clearly superior.

UR - http://www.scopus.com/inward/record.url?scp=0024481585&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0024481585

VL - 54

SP - 816

EP - 817

JO - Journal of Parenteral and Enteral Nutrition

JF - Journal of Parenteral and Enteral Nutrition

SN - 0148-6071

IS - 7

ER -

ID: 86605738