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pro vyhledávání: '"Cox, Dennis"'
Functional data are defined as realizations of random functions (mostly smooth functions) varying over a continuum, which are usually collected with measurement errors on discretized grids. In order to accurately smooth noisy functional observations
Externí odkaz:
http://arxiv.org/abs/1512.07568
Autor:
Cox, Dennis R.
Publikováno v:
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Thesis (M.S.)--Southern Illinois University Carbondale, 2006.
"Department of Technology." Includes bibliographical references (leaf 43). Also available online.
"Department of Technology." Includes bibliographical references (leaf 43). Also available online.
Externí odkaz:
http://proquest.umi.com/pqdweb?did=1136092151&sid=8&Fmt=2&clientId=1509&RQT=309&VName=PQD
Publikováno v:
Bayesian Analysis. Volume 11, Number 3 (2016), 649-670
Functional data, with basic observational units being functions (e.g., curves, surfaces) varying over a continuum, are frequently encountered in various applications. While many statistical tools have been developed for functional data analysis, the
Externí odkaz:
http://arxiv.org/abs/1402.5723
Autor:
Cox, Dennis D.
Publikováno v:
Lecture Notes-Monograph Series, 2004 Jan 01. 44, 125-132.
Externí odkaz:
https://www.jstor.org/stable/4356287
Publikováno v:
Biometrics, 2017 Dec 01. 73(4), 1082-1091.
Externí odkaz:
https://www.jstor.org/stable/44698336
Publikováno v:
Journal of Computational and Graphical Statistics, 2003 Dec 01. 12(4), 915-926.
Externí odkaz:
https://www.jstor.org/stable/1390984
Publikováno v:
In Computational Statistics and Data Analysis July 2017 111:88-101