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Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme. / Savelov, Maxim P.

In: Discrete Mathematics and Applications, Vol. 29, No. 4, 01.08.2019, p. 233-239.

Research output: Contribution to journalArticlepeer-review

Harvard

Savelov, MP 2019, 'Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme', Discrete Mathematics and Applications, vol. 29, no. 4, pp. 233-239. https://doi.org/10.1515/dma-2019-0021

APA

Savelov, M. P. (2019). Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme. Discrete Mathematics and Applications, 29(4), 233-239. https://doi.org/10.1515/dma-2019-0021

Vancouver

Savelov MP. Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme. Discrete Mathematics and Applications. 2019 Aug 1;29(4):233-239. doi: 10.1515/dma-2019-0021

Author

Savelov, Maxim P. / Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme. In: Discrete Mathematics and Applications. 2019 ; Vol. 29, No. 4. pp. 233-239.

BibTeX

@article{efd20f5cf4cd4c7c8fb43206a684e44f,
title = "Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme",
abstract = "For a nonhomogeneous polynomial scheme, conditions are found under which the Pearson statistic distributions converge to the distribution of nonnegative quadratic form of independent random variables with the standard normal distribution.",
keywords = "chi-square test, limit distributions, noncentral weighted chi-square distribution, Pearson statistics",
author = "Savelov, {Maxim P.}",
year = "2019",
month = aug,
day = "1",
doi = "10.1515/dma-2019-0021",
language = "English",
volume = "29",
pages = "233--239",
journal = "Discrete Mathematics and Applications",
issn = "0924-9265",
publisher = "Walter de Gruyter GmbH",
number = "4",

}

RIS

TY - JOUR

T1 - Limit distributions of the Pearson statistics for nonhomogeneous polynomial scheme

AU - Savelov, Maxim P.

PY - 2019/8/1

Y1 - 2019/8/1

N2 - For a nonhomogeneous polynomial scheme, conditions are found under which the Pearson statistic distributions converge to the distribution of nonnegative quadratic form of independent random variables with the standard normal distribution.

AB - For a nonhomogeneous polynomial scheme, conditions are found under which the Pearson statistic distributions converge to the distribution of nonnegative quadratic form of independent random variables with the standard normal distribution.

KW - chi-square test

KW - limit distributions

KW - noncentral weighted chi-square distribution

KW - Pearson statistics

UR - http://www.scopus.com/inward/record.url?scp=85071035993&partnerID=8YFLogxK

U2 - 10.1515/dma-2019-0021

DO - 10.1515/dma-2019-0021

M3 - Article

AN - SCOPUS:85071035993

VL - 29

SP - 233

EP - 239

JO - Discrete Mathematics and Applications

JF - Discrete Mathematics and Applications

SN - 0924-9265

IS - 4

ER -

ID: 21347225