OneStep-package: One-Step Estimation

OneStep-packageR Documentation

One-Step Estimation

Description

Provide principally an eponymic function that numerically computes the Le Cam's one-step estimator for an independent and identically distributed sample. One-step estimation is asymptotically efficient (see L. Le Cam (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be computed faster than the maximum likelihood estimator for large observation samples, see e.g. Brouste et al. (2021) <doi:10.32614/RJ-2021-044>.

Details

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Author(s)

Alexandre Brouste [aut] (<https://orcid.org/0000-0001-6719-7432>), Christophe Dutang [aut, cre] (<https://orcid.org/0000-0001-6732-1501>), Darel Noutsa Mieniedou [ctb]

Maintainer: Christophe Dutang <dutangc@gmail.com>

References

L. LeCam (1956). On the asymptotic theory of estimation and testing hypothesis. In: Proceedings of 3rd Berkeley Symposium I, pages 355-368.

See Also

See fitdistrplus for classic MLE, MME,...


OneStep documentation built on Oct. 17, 2024, 5:06 p.m.