On recovering the relative distribution, Part 1: The moment-recovered approach

Robert M. Mnatsakanov and Denys Pommeret

Statistics & Probability Letters, 2024, vol. 208, issue C

Abstract: The problems of approximating and estimating the relative distribution of two distributions as well as corresponding density function based on information given by the sequence of so-called transformed (frequency) moments or the scaled values of Laplace transform of the target model are studied. The asymptotic properties of empirical counterparts of proposed constructions are studied and their performances are demonstrated by means of graphs and tables.

Keywords: Composition of two distributions; Relative distribution; Moment-recovered approximation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016771522400004X
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:stapro:v:208:y:2024:i:c:s016771522400004x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2024.110035

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().