A general Monte Carlo method for multivariate goodness–of–fit testing applied to elliptical families
Feifei Chen,
Jiménez–Gamero, M. Dolores,
Simos Meintanis and
Lixing Zhu
Computational Statistics & Data Analysis, 2022, vol. 175, issue C
Abstract:
A general and relatively simple method for construction of multivariate goodness–of–fit tests is introduced. The proposed test is applied to elliptical distributions. The method is based on a characterization of probability distributions via their characteristic function. The consistency and other limit properties of the new test statistics are studied. Also in a simulation study the proposed tests are compared with earlier as well as more recent competitors.
Keywords: Goodness–of–fit test; Characteristic function; Spherical distribution (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167947322001281
Full text for ScienceDirect subscribers only.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:175:y:2022:i:c:s0167947322001281
DOI: 10.1016/j.csda.2022.107548
Access Statistics for this article
Computational Statistics & Data Analysis is currently edited by S.P. Azen
More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().