Zobrazeno 1 - 10
of 68
pro vyhledávání: '"John F. Monahan"'
Autor:
John F. Monahan
Publikováno v:
Journal of Statistical Software, Vol 16, Iss 1, Pp 1-9 (2006)
We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing. The sweep operator provides one simple
Externí odkaz:
https://doaj.org/article/e5f4683f431b4de1b819144683eb7ead
Autor:
John F. Monahan
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and compu
Autor:
John F. Monahan
A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design mat
Publikováno v:
Integrative and Comparative Biology. 52:257-273
Temperature probably had no direct effect on the evolution of sea kraits within their center of origin, a geologically stable thermal zone straddling the equator, but may have indirectly affected expansions and contractions in distributions beyond th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a790cd8459d03a3b031d01c88271dedf
https://doi.org/10.1093/icb/ics080
https://doi.org/10.1093/icb/ics080
Publikováno v:
International Journal of Climatology. 11:27-54
The purpose of this study is to identify preferred areas of synoptic-scale disturbance activity through the use of the objective analysis technique called complex principal component analysis. This technique is applied to a sea-level pressure data se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddee244c8947bd175cb81db11e48bf48
https://doi.org/10.1002/joc.3370110103
https://doi.org/10.1002/joc.3370110103
Autor:
Joseph E. Hummer, Nagui Rouphail, Ronald G. Hughes, Shannon J. Fain, Jennifer L. Toole, Robert S. Patten, Robert J. Schneider, John F. Monahan, Ann Do
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 1939:28-36
Shared-use paths are becoming increasingly busy across the United States. Path designers need guidance on how wide to make new or rebuilt paths and on whether to separate the different types of users. The current guidance is not specific, has not bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c61769c620162161ed8b50aa1f6ad41
https://doi.org/10.1177/0361198105193900104
https://doi.org/10.1177/0361198105193900104
Publikováno v:
Environmental Entomology. 31:668-675
The predation potential of small mammals, in particular mice, Peromyscus spp., and invertebrates, was evaluated from 1992 to 1995 near the leading edge of gypsy moth, Lymantria dispar (L.), spread into the southeastern United States. Two study sites
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94520d9cf4a59050fa92634c59fd4863
https://doi.org/10.1603/0046-225x-31.4.668
https://doi.org/10.1603/0046-225x-31.4.668
Autor:
John F. Monahan
Publikováno v:
Numerical Methods of Statistics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c1cdf279bb3d93de82b164ea69014ef
https://doi.org/10.1017/cbo9780511812231.016
https://doi.org/10.1017/cbo9780511812231.016
Autor:
John F. Monahan, Alan Genz
Publikováno v:
Journal of Computational and Applied Mathematics. 112(1-2):71-81
Details are given for a Fortran implementation of an algorithm that uses stochastic spherical–radial rules for the numerical computation of multiple integrals over unbounded regions with Gaussian weight. The implemented rules are suitable for high-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1be2267cc898b7a9b48dc4fd2d9bfda
Autor:
John F. Monahan, Alan Genz
Publikováno v:
SIAM Journal on Scientific Computing. 19:426-439
Stochastic integration rules are derived for infinite integration intervals, generalizing rules developed by Siegel and O'Brien [ SIAM J. Sci. Statist. Comput., 6 (1985), pp. 169--181] for finite intervals. Then random orthogonal transformations of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c902a3766680ff9406980fe03f76003a
https://doi.org/10.1137/s1064827595286803
https://doi.org/10.1137/s1064827595286803