Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Leon Jay Gleser"'
Autor:
Leon Jay Gleser, Myung Soon Song
Publikováno v:
Communications in Statistics - Simulation and Computation. 41:1679-1692
Numerical approaches to developing accurate and efficient approximations to combined likelihoods of population correlation matrices in meta-analysis under normality assumptions for the data are studied. The likelihood is expressed as a multiple integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4e1a7604bb783b3dbb4d94e980b866b
https://doi.org/10.1080/03610918.2011.615435
https://doi.org/10.1080/03610918.2011.615435
Publikováno v:
Journal of Biopharmaceutical Statistics. 22:93-108
In this article we consider a max-min approach to construct two-sided and one-sided simultaneous confidence bands in a dose-response study for the contrast in mean responses of each ascending dose versus placebo. The method utilizes the assumption of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90a178f6941865b3e5eb6dd687ee5f15
https://doi.org/10.1080/10543406.2010.504905
https://doi.org/10.1080/10543406.2010.504905
Publikováno v:
Journal of Statistical Computation and Simulation. 74:391-417
This article considers an unreplicated ultrastructural model and discusses the asymptotic properties of three consistent estimators of slope parameter arising from the knowledge of measurement error variances. Conditions are deduced when knowing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bdc5c5dd068803d434af021587a6631
https://doi.org/10.1080/0094965031000122044
https://doi.org/10.1080/0094965031000122044
Autor:
Jonghyeon Kim, Leon Jay Gleser
Publikováno v:
Communications in Statistics - Theory and Methods. 29:2473-2491
This paper explores the estimation of the area under the ROC curve when test scores are subject to errors. The naive approach that ignores measurement errors generally yields inconsistent estimates. Finding the asymptotic bias of the naive estimator,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0570a176b7fce10e5889daf53a15c075
https://doi.org/10.1080/03610920008832617
https://doi.org/10.1080/03610920008832617
Autor:
Leon Jay Gleser
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 37:15-22
It is argued that multivariate chemical mass balance models are, in general, incapable of determining the number and composition of sources of environmental contamination entirely from the data alone; additional identifying information must be obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46475a80f27162998ee0bf2e321ecb34
https://doi.org/10.1016/s0169-7439(96)00060-3
https://doi.org/10.1016/s0169-7439(96)00060-3
Autor:
Leon Jay Gleser, Ingram Olkin
Publikováno v:
Statistics in Medicine. 15:2493-2507
The possible existence of unreported studies can cast doubt on the conclusions of a meta-analytic summary of the literature, particularly if there is reason to believe that there is a publication bias against non-significant results. The present arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f75eef66dbe4b18eb0a433f4d23bab7f
https://doi.org/10.1002/(sici)1097-0258(19961215)15:23<2493::aid-sim381>3.0.co
https://doi.org/10.1002/(sici)1097-0258(19961215)15:23<2493::aid-sim381>3.0.co
Publikováno v:
Strength in Numbers: The Rising of Academic Statistics Departments in the U. S. ISBN: 9781461436485
Founded in 1949, the Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, maintained two major academic programs, biometry and human genetics, for most of its history. New developments in genetics during the 1980s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd823cd6a34b19396cfde9eddb1d4e8
https://doi.org/10.1007/978-1-4614-3649-2_35
https://doi.org/10.1007/978-1-4614-3649-2_35
Autor:
Leon Jay Gleser
Publikováno v:
Statistics & Probability Letters. 17:113-121
In a linear errors-in-variables regression model, one observes a dependent scalar variable Y i and an error-prone measurement X i of an r -dimensional latent predictor x i , i = 1,…, n , where it is assumed that E [ Y i | x i ] = a + Bx i . It is w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a538542bb3ce970e47de2ef67c0c5cb9
https://doi.org/10.1016/0167-7152(93)90005-4
https://doi.org/10.1016/0167-7152(93)90005-4
Autor:
Hefei Yang, Leon Jay Gleser
Publikováno v:
Analytica Chimica Acta. 277:405-419
In virtually all applications of factor models to aerosol mass apportionment, two important implicit assumptions are made: (a) that the source composition profile matrices remain constant over samples, and (b) that the (diagonal) error covariance mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9722ca5cfb29b50b81cc84f627b390c7
https://doi.org/10.1016/0003-2670(93)80452-q
https://doi.org/10.1016/0003-2670(93)80452-q
Autor:
Leon Jay Gleser, Ming Tan
Publikováno v:
Communications in Statistics - Simulation and Computation. 22:1211-1220
In discrete event simulation, the method of control variates is often used to reduce the variance of estimation for the mean of the output response. In the present paper, it is shown that when three or more control variates are used, the usual linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e89222644babe98cb7411629922d213
https://doi.org/10.1080/03610919308813150
https://doi.org/10.1080/03610919308813150