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pro vyhledávání: '"data-driven transformations"'
Autor:
Magnus Ekström, Mats Nilsson
Publikováno v:
Frontiers in Forests and Global Change, Vol 4 (2021)
Forest information is requested at many levels and for many purposes. Sampling-based national forest inventories (NFIs) can provide reliable estimates on national and regional levels. By combining expensive field plot data with different sources of r
Externí odkaz:
https://doaj.org/article/1726ccc5a8394a369fb55d126778fe26
Autor:
Pannier, Sören
Over the last few years, data has often been described as the oil of the 21st century, e.g., by Bhageshpur (2019). Just as access to oil dominated power and development in the last century, this claim implies that personal data is not only assumed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c38cbe8e6c081d03eca89d932449fac
Akademický článek
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Summary Small area models typically depend on the validity of model assumptions. For example, a commonly used version of the empirical best predictor relies on the Gaussian assumptions of the error terms of the linear mixed regression model: a featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a6dcde76edd913333334450e2056ad1
https://eprints.soton.ac.uk/431566/
https://eprints.soton.ac.uk/431566/
Autor:
Rojas-Perilla, Natalia
One of the goals of data analysts is to establish relationships between variables using regression models. Standard statistical techniques for linear and linear mixed regression models are commonly associated with interpretation, estimation, and infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04e0b508ce1ae7ec29c4b382343c9b2d
Kniha
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