Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nao Ohyauchi"'
Autor:
Masafumi Akahira1, Nao Ohyauchi1
Publikováno v:
Journal of the Japan Statistical Society. 2016, Vol. 46 Issue 1, p27-50. 24p.
Publikováno v:
Communications in Statistics - Theory and Methods. 45:5637-5659
For a one-sided truncated exponential family of distributions with a natural parameter. and a truncation parameter. as a nuisance parameter, it is shown by Akahira (2013) that the second-order asymptotic loss of a bias-adjusted maximum likelihood est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea05b5118c6c41cf3d9399d8ca802464
https://doi.org/10.1080/03610926.2014.948202
https://doi.org/10.1080/03610926.2014.948202
Autor:
Masafumi Akahira, Nao Ohyauchi
Publikováno v:
Communications in Statistics - Theory and Methods. 46:6085-6097
For a truncated exponential family of distributions with a truncation parameter γ and a natural parameter θ as a nuisance parameter, the stochastic expansions of bias-adjusted maximum likelihood estimators (MLEs) and of γ when θ is known and when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5506587dcdd62911a0e6070380ab59
https://doi.org/10.1080/03610926.2015.1117638
https://doi.org/10.1080/03610926.2015.1117638
Autor:
Nao Ohyauchi, Masafumi Akahira
Publikováno v:
JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 46:27-50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::130a2edeee11ab18b60ba85b565463b8
https://doi.org/10.14490/jjss.46.27
https://doi.org/10.14490/jjss.46.27
Publikováno v:
Communications in Statistics - Simulation and Computation. 42:2086-2105
Noncentral distributions appear in two sample problems and are often used in several fields, for example, in biostatistics. A higher order approximation for a percentage point of the noncentral t-distribution under normality is given by Akahira (1995
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cdeb03b36fabb1d22bad282940f649b
https://doi.org/10.1080/03610918.2012.695841
https://doi.org/10.1080/03610918.2012.695841
Autor:
Nao Ohyauchi
Publikováno v:
Statistics. 47:590-604
In most cases, we use a symmetric loss such as the quadratic loss in a usual estimation problem. But, in the non-regular case when the regularity conditions do not necessarily hold, it seems to be more reasonable to choose an asymmetric loss than the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bca7fe4ee7952f4a405cd65941b782bd
https://doi.org/10.1080/02331888.2011.605889
https://doi.org/10.1080/02331888.2011.605889
Publikováno v:
Annals of the Institute of Statistical Mathematics. 64:1121-1138
In the paper of Akahira (Ann Inst Statist Math 48:349–364, 1996), it was shown that the second order asymptotic loss of information in reducing to a statistic consisting of extreme values and an asymptotically ancillary statistic vanished for a fam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::813198349536e9083526e0d6a489a261
https://doi.org/10.1007/s10463-011-0347-4
https://doi.org/10.1007/s10463-011-0347-4
Autor:
Masafumi Akahira, Nao Ohyauchi
Publikováno v:
Communications in statistics. Theory and methods. 36(11):2049-2059
In non-regular cases when the regularity conditions does not hold, the Chapman–Robbins (1951) inequality for the variance of unbiased estimators is well known, but the lower bound by the inequality is not attainable. In this article, we extend the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c9e8c61bd5859d0dcf56de4bd91fb6
https://tsukuba.repo.nii.ac.jp/records/29188
https://tsukuba.repo.nii.ac.jp/records/29188
Autor:
Nao Ohyauchi, Masafumi Akahira
Publikováno v:
Statistics : a journal of theoretical and applied statistics. 41(2):137-144
From the Bayesian viewpoint, the information inequality applicable to the non-regular case is discussed. It is shown to construct an estimator which minimizes locally the variance of any estimator satisfying weaker conditions than the unbiasedness co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::090802424f5da69de3c6b8c8837e940b
https://tsukuba.repo.nii.ac.jp/records/29187
https://tsukuba.repo.nii.ac.jp/records/29187
Autor:
Nao Ohyauchi
Publikováno v:
JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 34:65-74
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2e2696ff02c898b3ab3420f938f500
https://doi.org/10.14490/jjss.34.65
https://doi.org/10.14490/jjss.34.65