2026-08-20T06:04:18Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/719352023-08-26T05:10:23Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Castilla González, Elena María
author
Jaenada Malagón, María
author
Martín Apaolaza, Nirian
author
Pardo Llorente, Leandro
2023-06-22T10:57:20Z
2023-06-22T10:57:20Z
2022-10-25
1573-1375
10.1007/s11222-022-10162-7
https://hdl.handle.net/20.500.14352/71935
https://doi.org/10.1007/s11222-022-10162-7
Since the two seminal papers by Fisher (1915, 1921) were published, the test under a fixed value correlation coefficient null hypothesis for the bivariate normal distribution constitutes an important statistical problem. In the framework of asymptotic robust statistics, it remains being a topic of great interest to be investigated. For this and other tests, focused on paired correlated normal random samples, Rényi's pseudodistance estimators are proposed, their asymptotic distribution is established and an iterative algorithm is provided for their computation. From them the Wald-type test statistics are constructed for different problems of interest and their influence function is theoretically studied. For testing null correlation in different contexts, an extensive simulation study and two real data based examples support the robust properties of our proposal.
eng
Atribución 3.0 España
Robust approach for comparing two dependent normal populations through Wald-type tests based on Rényi's pseudodistance estimators
journal article
URL
https://docta.ucm.es/bitstreams/220374dc-13b1-4dd4-9e8c-04bc8fe45fc1/download
File
MD5
f86498f9da741917fc48ef245e56eb17
1163303
application/pdf
s11222-022-10162-7.pdf