Zobrazeno 1 - 2
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pro vyhledávání: '"Oualid Saci"'
Publikováno v:
Sankhya A. 85:540-571
In a parametric estimation framework, this paper proposes different properties for the maximum likelihood estimators of unknown parameters of a given random variable having a known distribution, where different parameter estimation cases are studied.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ad5c4deba2458ffa641a965d3b7fdb4
https://doi.org/10.1007/s13171-021-00265-0
https://doi.org/10.1007/s13171-021-00265-0
Autor:
Megdouda Ourbih-Tari, Oualid Saci
Publikováno v:
International Journal of Mathematics in Operational Research. 1:1
In this paper, we compare the estimators of the cumulative distribution function obtained by the refined descriptive (RD) sample and simple random (SR) sample, and show that the one obtained by RD sample is more efficient than that obtained by SR sam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74bc82abe9c37dc3ae686a81c0d96c06
https://doi.org/10.1504/ijmor.2020.10030840
https://doi.org/10.1504/ijmor.2020.10030840