Maximum likelihood estimation for a one-sided truncated family of distributions-Reference-Cited by-同舟云学术

Maximum likelihood estimation for a one-sided truncated family of distributions

Published:2020-11-20 Issue:1 Volume:4 Page:317-344
ISSN:2520-8756
Container-title:Japanese Journal of Statistics and Data Science
language:en
Short-container-title:Jpn J Stat Data Sci

Author:

Akahira Masafumi

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s42081-020-00098-5.pdf

Reference15 articles.

1. Akahira, M. (1986). The structure of asymptotic deficiency of estimators. Queen’s papers in pure and applied mathematics, 75. Kingston: Queen’s University Press.

2. Akahira, M. (2016). Second order asymptotic comparison of the MLE and MCLE of a natural parameter for a truncated exponential family of distributions. Annals of the Institute of Statistical Mathematics,68, 469–490.

3. Akahira, M. (2017). Statistical estimation for truncated exponential families. Springer briefs in statistics, JSS research series in statistics, Singapore: Springer Nature.

4. Akahira, M., Hashimoto, S., Koike, K., & Ohyauchi, N. (2016). Second order asymptotic comparison of the MLE and MCLE for a two-sided truncated exponential family of distributions. Communications in Statistics : Theory and Methods,45, 5637–5659.

5. Akahira, M., & Ohyauchi, N. (2017). Second-order asymptotic loss of the MLE of a truncation parameter for a truncated exponential family of distributions. Communications in Statistics : Theory and Methods,46, 6085–6097.

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