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A new approach to goodness-of-fit testing based on the integrated empirical process. / Henze, N.; Nikitin, Ya. Yu.

In: Journal of Nonparametric Statistics, Vol. 12, 2000, p. 391 - 416.

Research output: Contribution to journalArticle

Harvard

Henze, N & Nikitin, YY 2000, 'A new approach to goodness-of-fit testing based on the integrated empirical process', Journal of Nonparametric Statistics, vol. 12, pp. 391 - 416.

APA

Henze, N., & Nikitin, Y. Y. (2000). A new approach to goodness-of-fit testing based on the integrated empirical process. Journal of Nonparametric Statistics, 12, 391 - 416.

Vancouver

Henze N, Nikitin YY. A new approach to goodness-of-fit testing based on the integrated empirical process. Journal of Nonparametric Statistics. 2000;12:391 - 416.

Author

Henze, N. ; Nikitin, Ya. Yu. / A new approach to goodness-of-fit testing based on the integrated empirical process. In: Journal of Nonparametric Statistics. 2000 ; Vol. 12. pp. 391 - 416.

BibTeX

@article{f982c6487432434a9711172014b56965,
title = "A new approach to goodness-of-fit testing based on the integrated empirical process",
author = "N. Henze and Nikitin, {Ya. Yu.}",
year = "2000",
language = "English",
volume = "12",
pages = "391 -- 416",
journal = "Journal of Nonparametric Statistics",
issn = "1048-5252",
publisher = "Taylor & Francis",

}

RIS

TY - JOUR

T1 - A new approach to goodness-of-fit testing based on the integrated empirical process

AU - Henze, N.

AU - Nikitin, Ya. Yu.

PY - 2000

Y1 - 2000

M3 - Article

VL - 12

SP - 391

EP - 416

JO - Journal of Nonparametric Statistics

JF - Journal of Nonparametric Statistics

SN - 1048-5252

ER -

ID: 5173638