Zobrazeno 1 - 10
of 391
pro vyhledávání: '"Design-based inference"'
Publikováno v:
Journal of Causal Inference, Vol 12, Iss 1, Pp 465-72 (2024)
Neyman’s 1923 paper introduced the potential outcomes framework and the foundations of randomization-based inference. We discuss the influence of Neyman’s paper on four introductory to intermediate-level textbooks by Berkeley faculty members (Sch
Externí odkaz:
https://doaj.org/article/4f941bafeb5c444d8e3132e16d1cca26
Autor:
Göran Ståhl, Terje Gobakken, Svetlana Saarela, Henrik J. Persson, Magnus Ekström, Sean P. Healey, Zhiqiang Yang, Johan Holmgren, Eva Lindberg, Kenneth Nyström, Emanuele Papucci, Patrik Ulvdal, Hans Ole Ørka, Erik Næsset, Zhengyang Hou, Håkan Olsson, Ronald E. McRoberts
Publikováno v:
Forest Ecosystems, Vol 11, Iss , Pp 100164- (2024)
Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics, and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for decision-making. However, wall-to-wall
Externí odkaz:
https://doaj.org/article/ac8f7042e23e48c4a21d47f6b234b47b
Autor:
Leavitt Thomas
Publikováno v:
Journal of Causal Inference, Vol 11, Iss 1, Pp 3-30 (2023)
Bayesian causal inference in randomized experiments usually imposes model-based structure on potential outcomes. Yet causal inferences from randomized experiments are especially credible because they depend on a known assignment process, not a probab
Externí odkaz:
https://doaj.org/article/d84588a0e480404b95dfe771926568ae
Autor:
Juan Guerra-Hernández, Brigite Botequim, Sandra Bujan, Alfonso Jurado-Varela, Juan Alberto Molina-Valero, Adela Martínez-Calvo, Cesar Pérez-Cruzado
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 686-704 (2022)
Remotely sensed data are increasingly used together with National Forest Inventory (NFI) data to improve the spatial precision of forest variable estimates. In this study, we combined data from the 4th Spanish National Forest Inventory (SNFI-4) and f
Externí odkaz:
https://doaj.org/article/1ca9354c3a094575b2c150754a91dc53
Akademický článek
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Akademický článek
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Autor:
Lorenzo Fattorini, Marco Cervellini, Sara Franceschi, Michele Di Musciano, Piero Zannini, Alessandro Chiarucci
Publikováno v:
Ecological Indicators, Vol 143, Iss , Pp 109352- (2022)
The quantitative assessment of habitat conservation status is a major task for European Union member states in compliance with Council Directive 92/43. One goal of the European 2030 Biodiversity Strategy is the effective management of habitats that s
Externí odkaz:
https://doaj.org/article/2d9dd4f00ca443a493657b742f71ad37
Autor:
Ding Peng
Publikováno v:
Journal of Causal Inference, Vol 9, Iss 1, Pp 1-8 (2021)
A result from a standard linear model course is that the variance of the ordinary least squares (OLS) coefficient of a variable will never decrease when including additional covariates into the regression. The variance inflation factor (VIF) measures
Externí odkaz:
https://doaj.org/article/eac6ef5c639d4c43b8583e0b2c95f969
Autor:
Garret T. Dettmann, Philip J. Radtke, John W. Coulston, P. Corey Green, Barry T. Wilson, Gretchen G. Moisen
Publikováno v:
Frontiers in Forests and Global Change, Vol 5 (2022)
Small area estimation is a growing area of research for making inferences over geographic, demographic, or temporal domains smaller than those in which a particular survey data set was originally intended to be used. We aimed to review a body of lite
Externí odkaz:
https://doaj.org/article/a38d60ca39d44120b1b065d0f7d80e56
Akademický článek
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