Optimization bias in forest management planning solutions due to errors in forest variables
Silva Fennica, 1999 The yield of various forest variables is predicted by means of a simulation system to provide information for forest management planning. These predictions contain many kinds of uncertainty, for example, prediction and measurement errors.
Kangas, Annika, Kangas, Jyrki
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Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling
Methods in Ecology and EvolutionAccurate downscaling with uncertainty quantification and its inclusion in fitting biodiversity models to data are essential for accurate, valid inferences and predictions.
Xiaotian Zheng +4 more
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Errors-in-variables and validation problems in reaction norm predictions for wild populations [PDF]
Modeling, Identification and ControlStudies of phenotypic responses in wild populations are often based on reaction norm models where the environmental drivers in many cases are related to climate change.
Rolf Ergon
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Incorporating remote sensing measurement error for forest inventory
Big Earth DataRemotely sensed data are increasingly used with model-based inference to estimate forest population characteristics (e.g., areal means). However, at-sensor radiance affected by measurement errors has inherent variations over time, space and spectrum ...
Qing Xu +3 more
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Robust recursive estimation for the errors-in-variables nonlinear systems with impulsive noise
Scientific ReportsThe non-Gaussian characteristic of the external disturbance poses a great challenge for system modeling and identification. This paper develops a robust recursive estimation algorithm for the errors-in-variables nonlinear system with the impulsive noise.
Xuehai Wang, Fang Zhu
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Environmental variables and errors in the preparation and administration of medicines
Revista Brasileira de EnfermagemObjective: to identify the relationship between environmental factors and errors in the preparation and administration of antibacterial. Method: an observational, cross-sectional study conducted between August and December, 2014 in two clinical units ...
Francisco Gilberto Fernandes Pereira +5 more
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Total Least Squares Estimation in Hedonic House Price Models
ISPRS International Journal of Geo-InformationIn real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan +5 more
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Consistency of the total least squares estimator in the linear errors-in-variables regression
Modern Stochastics: Theory and Applications, 2018 This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency results for the TLS estimator previously obtained by the author [18]. We present
Sergiy Shklyar
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Errors-in-variables methods in system identification
Automatica, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Effects of errors-in-variables on the internal and external reliability measures
Geodesy and GeodynamicsThe reliability theory has been an important element of the classical geodetic adjustment theory and methods in the linear Gauss-Markov model. Although errors-in-variables (EIV) models have been intensively investigated, little has been done about ...
Yanxiong Liu +4 more
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