Zobrazeno 1 - 10
of 37
pro vyhledávání: '"D G, SIMPSON"'
Autor:
D. G. Simpson, C. E. Bulmer
Publikováno v:
Soil Science Society of America Journal. 74:2162-2174
Growth of lodgepole pine (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) seedlings after two growing seasons was reduced by medium and high levels of compaction in loamy sand and silt loam soils that received one of three compaction treatment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43ea86df036ecbde48f162a9ae294ee9
https://doi.org/10.2136/sssaj2009.0458
https://doi.org/10.2136/sssaj2009.0458
Autor:
N. Locantore, J. S. Marron, D. G. Simpson, N. Tripoli, J. T. Zhang, K. L. Cohen, Graciela Boente, Ricardo Fraiman, Babette Brumback, Christophe Croux, Jianqing Fan, Alois Kneip, John I. Marden, Daniel Peña, Javier Prieto, Jim O. Ramsay, Mariano J. Valderrama, Ana M. Aguilera
Publikováno v:
Test. 8:1-73
A method for exploring the structure of populations of complex objects, such as images, is considered. The objects are summarized by feature vectors. The statistical backbone is Principal Component Analysis in the space of feature vectors. Visual ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67969fbf93d5537f6c7cce9cef0e03b1
https://doi.org/10.1007/bf02595862
https://doi.org/10.1007/bf02595862
Autor:
D G, SIMPSON
Publikováno v:
The New Zealand medical journal. 46(252)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::43dc07b683d38f3746714561fe56747b
https://pubmed.ncbi.nlm.nih.gov/20239279
https://pubmed.ncbi.nlm.nih.gov/20239279
Publikováno v:
ACS Symposium Series ISBN: 9780841239197
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb40d25351857d01473300ef7d419c07
https://doi.org/10.1021/bk-2006-0918.ch014
https://doi.org/10.1021/bk-2006-0918.ch014
Publikováno v:
Cardiovascular pathology : the official journal of the Society for Cardiovascular Pathology. 7(3)
An elaborate series of morphogenetic events must be precisely coordinated during development to promote the formation of the elaborate three-dimensional structure of the normal heart. In this study we focus on discussing how interconnections between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5544cf47085eeda10d66d462f185b136
https://pubmed.ncbi.nlm.nih.gov/25851220
https://pubmed.ncbi.nlm.nih.gov/25851220
Publikováno v:
Risk analysis : an official publication of the Society for Risk Analysis. 17(3)
Exposure-response analysis of acute noncancer risks should consider both concentration (C) and duration (T) of exposure, as well as severity of response. Stratified categorical regression is a form of meta-analysis that addresses these needs by combi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e901c0e65a828ed46353c415256c5f9c
https://pubmed.ncbi.nlm.nih.gov/9232016
https://pubmed.ncbi.nlm.nih.gov/9232016
Publikováno v:
International review of cytology. 150
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f189664c347930bc30a8fda3c8a90b66
https://pubmed.ncbi.nlm.nih.gov/8169083
https://pubmed.ncbi.nlm.nih.gov/8169083
Publikováno v:
The American journal of physiology. 264(2 Pt 2)
Previous studies have shown that the rates of protein synthesis observed in embryonic and neonatal heart cells in culture are as much as nine times greater than the rates of synthesis observed in the intact adult heart either in situ or in isolated p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cee0452d37cf2b7fa64dd207d8e77bee
https://pubmed.ncbi.nlm.nih.gov/8447469
https://pubmed.ncbi.nlm.nih.gov/8447469
Autor:
Darrell H. Reneker, Hao Fong, Alexander Yarin, Eyal Zussman, Sureeporn Koombhongse, Woraphon Kataphinan, Han Xu, S. V. Fridrikh, J. H. Yu, M. P. Brenner, G. C. Rutledge, J. M. Deitzel, C. Krauthauser, D. Harris, C. Pergantis, J. Kleinmeyer, Pankaj Gupta, Garth L. Wilkes, Dufei Fang, Charles Chang, Benjamin S. Hsiao, Benjamin Chu, Navin N. Bunyan, Julie Chen, Inan Chen, Samira Farboodmanesh, Heidi L. Schreuder-Gibson, Phil Gibson, Christopher Drew, Xianyan Wang, Lynne A. Samuelson, Jayant Kumar, M. Wei, B. Kang, C. Sung, J. Mead, J. Zeng, Z. Sun, H. Hou, R. Dersch, H. Wickel, J. H. Wendorff, A. Greiner, Darren A. Baker, Philip J. Brown, E. D. Boland, K. J. Pawlowski, C. P. Barnes, D. G. Simpson, G. E. Wnek, G. L. Bowlin, Cheryl L. Casper, Weidong Yang, Mary C. Farach-Carson, John F. Rabolt, Huajun Zhou, Kyoung-Woo Kim, Emmanuel Giannelis, Yong Lak Joo, Frank K. Ko, Hoa Lam, Nick Titchenal, Haihui Ye, Yury Gogotsi, D. Aussawasathien, P. He, L. Dai, Nantiya Viriyabanthorn, Ross G. Stacer, Changmo Sung, Joey L. Mead, Sian F. Fennessey, Angelo Pedicini, Richard
Autor:
David Ruppert, B. C. Van Zomeren, Peter J. Rousseeuw, R. D. Cook, D. M. Hawkins, D. G. Simpson
Publikováno v:
Journal of the American Statistical Association. 85:640
Detecting outliers in a multivariate point cloud is not trivial, especially when there are several outliers. The classical identification method does not always find them, because it is based on the sample mean and covariance matrix, which are themse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6fd8481bbf48cbb449340e28b96a31
https://doi.org/10.2307/2289996
https://doi.org/10.2307/2289996