Zobrazeno 1 - 10
of 45
pro vyhledávání: '"H. D. Brunk"'
Autor:
H. D. Brunk
Publikováno v:
Ann. Statist. 19, no. 2 (1991), 830-849
In a general setting in which prior distributions that may take on the value $\infty$ are admitted, an inference based on a posterior for a prior, $\mu$, that is "minimally compatible" with the inference is shown to have a strong property of expectat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de39d3b61653889dfa3558c823f17a7a
https://doi.org/10.1214/aos/1176348123
https://doi.org/10.1214/aos/1176348123
Autor:
H. D. Brunk, John Shin
Publikováno v:
Communications in Statistics - Theory and Methods. 13:2253-2291
Linear, least squares statistical methods in which the "parameters" are interpreted as random variables were introduced by Whittle, and further developed by Hartigan and others. They are applied here to the problem of estimating the coefficients in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2b1119f55ba83b1aabfde45cd4b2e5c
https://doi.org/10.1080/03610928408828825
https://doi.org/10.1080/03610928408828825
Autor:
H. D. Brunk
Publikováno v:
Communications in Statistics - Theory and Methods. 9:1101-1136
The regression function R(•) to be estimated is assumed to have an expansion in terms of specified functions, orthogonalized vich respect to values of the explanatory variable. Relative precisions of OBSERVATION are assumed known. The estimate is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fadbd597b2e0ef6550d4e2a83b3e14ef
https://doi.org/10.1080/03610928008827946
https://doi.org/10.1080/03610928008827946
Autor:
Donald A. Pierce, H. D. Brunk
Publikováno v:
Communications in Statistics - Theory and Methods. 6:1-14
For a very wide class of distributions in the multiparameter exponential family it is shown that the posterior distribution of the population mean μ is such that has asymptotically the standard normal distribution. It is suggested that this supports
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7904f3f7e8f84eb48b6911a10d6dbd
https://doi.org/10.1080/03610927708827465
https://doi.org/10.1080/03610927708827465
Autor:
H. D. Brunk
Publikováno v:
Biometrika. 65:521-528
Orthogonal series estimators of univariate densities are proposed that are derived from and motivated by kernel estimators optimal in Whittle's (1958) sense. A preliminary fit of the data from within a one or two parameter class of densities plays th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0956b62d1932f88664449dfe2615db05
https://doi.org/10.1093/biomet/65.3.521
https://doi.org/10.1093/biomet/65.3.521
Autor:
H. D. Brunk
Publikováno v:
Psychometrika. 46:115-128
Bayesian least squares techniques are adapted to estimation of stimulus-response curves, rather broadly conceived. Illustrative examples deal with estimation of person characteristic curves and item characteristic curves in the context of mental test
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db77ee60adbcf9a65b500ed1b812cc9c
https://doi.org/10.1007/bf02293892
https://doi.org/10.1007/bf02293892
Autor:
R. Rossi, H. D. Brunk
Publikováno v:
Computational Statistics & Data Analysis. 6:203-227
L1 and L2 cross-validation criteria are studied for a wide class of kernel estimators, estimators that have expansions as linear combinations of prescribed functions. In particular, the L1 and L2 cross-validation objective functions to be minimized a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd26c95b5adcb897912ade3bc4a8540
https://doi.org/10.1016/0167-9473(88)90002-3
https://doi.org/10.1016/0167-9473(88)90002-3
Autor:
H. D. Brunk
Publikováno v:
Proceedings of the American Mathematical Society. 7:817-824
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff4c0608ff39af400955add0b0209987
https://doi.org/10.1090/s0002-9939-1956-0081371-9
https://doi.org/10.1090/s0002-9939-1956-0081371-9
Autor:
H. D. Brunk
Publikováno v:
Ann. Math. Statist. 26, no. 4 (1955), 607-616
The maximum likelihood estimators of distribution parameters subject to certain order relations are determined for simultaneous sampling from a number of populations, when $(i)$ the order relations may be specified by regarding the distribution param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a98505f7d709588cfd1a42165c5709b1
https://doi.org/10.1214/aoms/1177728420
https://doi.org/10.1214/aoms/1177728420
Autor:
H. D. Brunk
Publikováno v:
Quarterly of Applied Mathematics. 11:285-294
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61c0705e439ace0b4c8b123ca780715
https://doi.org/10.1090/qam/57635
https://doi.org/10.1090/qam/57635