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pro vyhledávání: '"Breidt F. Jay"'
Statistical modeling of high-dimensional matrix-valued data motivates the use of a low-rank representation that simultaneously summarizes key characteristics of the data and enables dimension reduction. Low-rank representations commonly factor the or
Externí odkaz:
http://arxiv.org/abs/2307.13627
Autor:
Gutiérrez Hugo Andrés, Breidt F. Jay
Publikováno v:
Revista Colombiana de Estadística, Vol 32, Iss 1, Pp 123-143 (2009)
This paper presents a new regression estimator for the total of a population created by means of the minimization of a measure of dispersion and the use of the Wilcoxon scores. The use of a particular nonparametric model is considered in order to obt
Externí odkaz:
https://doaj.org/article/cdfa98d20a0e4e9482551e9c4f2ecc50
Publikováno v:
In Spatial Statistics December 2024 64
Autor:
Ogle, Stephen M.1,2 (AUTHOR) Stephen.Ogle@colostate.edu, Breidt, F. Jay3,4 (AUTHOR), Del Grosso, Stephen5 (AUTHOR), Gurung, Ram2 (AUTHOR), Marx, Ernie2 (AUTHOR), Spencer, Shannon2 (AUTHOR), Williams, Stephen2 (AUTHOR), Manning, Dale6 (AUTHOR)
Publikováno v:
Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-13. 13p.
Autor:
Armstrong, Samuel, Khandelwal, Paahuni, Padalia, Dhruv, Senay, Gabriel, Schulte, Darin, Andales, Allan, Breidt, F. Jay, Pallickara, Shrideep, Pallickara, Sangmi Lee
Publikováno v:
In Environmental Modelling and Software June 2022 152
Autor:
Gurung, Ram B., Ogle, Stephen M., Breidt, F. Jay, Parton, William J., Del Grosso, Stephen J., Zhang, Yao, Hartman, Melannie D., Williams, Stephen A., Venterea, Rodney T.
Publikováno v:
In Science of the Total Environment 20 December 2021 801
Publikováno v:
In Geoderma 15 October 2020 376
Akademický článek
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Publikováno v:
Bernoulli 2012, Vol. 18, No. 4, 1361-1385
Consider informative selection of a sample from a finite population. Responses are realized as independent and identically distributed (i.i.d.) random variables with a probability density function (p.d.f.) f, referred to as the superpopulation model.
Externí odkaz:
http://arxiv.org/abs/1211.5468
Autor:
Breidt, F. Jay, Opsomer, Jean D.
Publikováno v:
Annals of Statistics 2008, Vol. 36, No. 1, 403-427
Post-stratification is frequently used to improve the precision of survey estimators when categorical auxiliary information is available from sources outside the survey. In natural resource surveys, such information is often obtained from remote sens
Externí odkaz:
http://arxiv.org/abs/0803.2100