Standard

Distribution of the mean value for certain random measures. / Tsilevich, N. V.

In: Journal of Mathematical Sciences , Vol. 96, No. 5, 01.01.1999, p. 3616-3623.

Research output: Contribution to journalArticlepeer-review

Harvard

Tsilevich, NV 1999, 'Distribution of the mean value for certain random measures', Journal of Mathematical Sciences , vol. 96, no. 5, pp. 3616-3623. https://doi.org/10.1007/BF02175838

APA

Vancouver

Author

Tsilevich, N. V. / Distribution of the mean value for certain random measures. In: Journal of Mathematical Sciences . 1999 ; Vol. 96, No. 5. pp. 3616-3623.

BibTeX

@article{096d848300f14d7b9f50993a33de901b,
title = "Distribution of the mean value for certain random measures",
abstract = "Let τ be a probability measure on [0,1]. We consider a generalization of the classic Dirichlet process - the random probability measure F = Σ Pi δxi, where X = {Xi} is a sequence of independent random variables with the common distribution r and P = {P i} is independent of X and has the two-parameter Poisson-Dirichlet distribution PD(α,θ) on the unit simplex. The main result is the formula connecting the distribution μ of the random mean value ∫ xdF(x) with the parameter measure T.",
author = "Tsilevich, {N. V.}",
year = "1999",
month = jan,
day = "1",
doi = "10.1007/BF02175838",
language = "English",
volume = "96",
pages = "3616--3623",
journal = "Journal of Mathematical Sciences",
issn = "1072-3374",
publisher = "Springer Nature",
number = "5",

}

RIS

TY - JOUR

T1 - Distribution of the mean value for certain random measures

AU - Tsilevich, N. V.

PY - 1999/1/1

Y1 - 1999/1/1

N2 - Let τ be a probability measure on [0,1]. We consider a generalization of the classic Dirichlet process - the random probability measure F = Σ Pi δxi, where X = {Xi} is a sequence of independent random variables with the common distribution r and P = {P i} is independent of X and has the two-parameter Poisson-Dirichlet distribution PD(α,θ) on the unit simplex. The main result is the formula connecting the distribution μ of the random mean value ∫ xdF(x) with the parameter measure T.

AB - Let τ be a probability measure on [0,1]. We consider a generalization of the classic Dirichlet process - the random probability measure F = Σ Pi δxi, where X = {Xi} is a sequence of independent random variables with the common distribution r and P = {P i} is independent of X and has the two-parameter Poisson-Dirichlet distribution PD(α,θ) on the unit simplex. The main result is the formula connecting the distribution μ of the random mean value ∫ xdF(x) with the parameter measure T.

UR - http://www.scopus.com/inward/record.url?scp=53149110765&partnerID=8YFLogxK

U2 - 10.1007/BF02175838

DO - 10.1007/BF02175838

M3 - Article

AN - SCOPUS:53149110765

VL - 96

SP - 3616

EP - 3623

JO - Journal of Mathematical Sciences

JF - Journal of Mathematical Sciences

SN - 1072-3374

IS - 5

ER -

ID: 49790318