Strong Law of Large Numbers for Weighted Sums of Random Variables and Its Applications in EV Regression Models

Abstract This paper mainly studies the strong convergence properties for weighted sums of extended negatively dependent (END, for short) random variables. Some sufficient conditions to prove the strong law of large numbers for weighted sums of END random variables are provided. In particular, the au...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Peng, Yunjie [verfasserIn]

Zheng, Xiaoqian

Yu, Wei

He, Kaixin

Wang, Xuejun

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

EV regression models

extended negatively dependent random variables

strong consistency

strong law of large numbers

weighted sums

Anmerkung:

© The Editorial Office of JSSC & Springer-Verlag GmbH Germany 2020

Übergeordnetes Werk:

Enthalten in: Journal of systems science and complexity - Boston, MA [u.a] : Springer, 2006, 35(2021), 1 vom: 12. Jan., Seite 342-360

Übergeordnetes Werk:

volume:35 ; year:2021 ; number:1 ; day:12 ; month:01 ; pages:342-360

Links:

Volltext

DOI / URN:

10.1007/s11424-020-0098-5

Katalog-ID:

SPR050469045

Nicht das Richtige dabei?

Schreiben Sie uns!