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Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data
Fu, Liyong, Liu, Qingwang, Sun, Hua, Wang, Qiuyan, Li, Zengyuan, Chen, Erxue, Pang, Yong, Song, Xinyu, Wang, Guangxing
Published in Remote sensing (Basel, Switzerland) (01.02.2018)
Published in Remote sensing (Basel, Switzerland) (01.02.2018)
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Bayesian Error-in-Variable Survival Model for the Analysis of GeneChip Arrays
Tadesse, Mahlet G., Ibrahim, Joseph G., Gentleman, Robert, Chiaretti, Sabina, Ritz, Jerome, Foa, Robin
Published in Biometrics (01.06.2005)
Published in Biometrics (01.06.2005)
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Bayesian D‐optimal designs for error‐in‐variables models
Konstantinou, Maria, Dette, Holger
Published in Applied stochastic models in business and industry (01.05.2017)
Published in Applied stochastic models in business and industry (01.05.2017)
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Estimation of survival and capture probabilities in open population capture–recapture models when covariates are subject to measurement error
Stoklosa, Jakub, Dann, Peter, Huggins, Richard M., Hwang, Wen-Han
Published in Computational statistics & data analysis (01.04.2016)
Published in Computational statistics & data analysis (01.04.2016)
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Global Optimization in Parameter Estimation of Nonlinear Algebraic Models via the Error-in-Variables Approach
Esposito, William R, Floudas, Christodoulos A
Published in Industrial & engineering chemistry research (04.05.1998)
Published in Industrial & engineering chemistry research (04.05.1998)
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On the accuracy in errors-in-variables identification compared to prediction-error identification
Hjalmarsson, Håkan, Mårtensson, Jonas, Rojas, Cristian R., Söderström, Torsten
Published in Automatica (Oxford) (01.12.2011)
Published in Automatica (Oxford) (01.12.2011)
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