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Model misspecification in Data Envelopment Analysis
Annals of Operations Research, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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MODEL MISSPECIFICATION NOT THE NODE-DENSITY ARTIFACT
Evolution, 2008Hugall and Lee (2007) proposed a method for detecting nodedensity effects on phylogenetic trees, and applied it to several of the trees we have used to investigate punctuational evolution (Webster et al. 2003). They concluded that those trees suffer from the node-density artifact rather than provide evidence for punctuational evolution.
Chris, Venditti, Mark, Pagel
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Misspecifications in modelling journeys to work [PDF]
, 2004 In this paper we perform a simulation procedure of testing models for journeys to work. The testing regime is carried out on a number of such models, mainly within the class of gravity models. We test the models on synthetic populations constructed from an aggregated set of a large number of worker subcategories, reflecting for instance different ...
Jens Petter Gitlesen +2 more
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Regression Diagnostic under Model Misspecification
Journal of Applied Statistics, 2007We propose two novel diagnostic measures for the detection of influential observations for regression parameters in linear regression. Traditional diagnostic statistics focus on the effect of deletion of data points either on parameter estimates, or on predicted values.
Li-Chu, Chien, Tsung-Shan, Tsou
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The Consequences Of Model Misspecification In Regression Analysis
Multivariate Behavioral Research, 1976In ordinary least squares regression analysis the desired property of unbiasedness in estimated coefficients is contingent upon the correspondence of the fitted model with the true underlying data generating process. This paper focuses on developing a systematic characterization of the error forms resulting from model misspecification in single ...
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On Constraints in Parameter Estimation and Model Misspecification
2018 21st International Conference on Information Fusion (FUSION), 2018Under perfect model specification several deterministic (non-Bayesian) parameter bounds have been established, including the Cramer-Rae, Bhattacharyya, and the Barankin bound; where each is known to apply only to estimators sharing the same mean as a function of the true parameter. This requirement of common mean represents a constraint on the class of
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Detecting Model Misspecification in Bayesian Piecewise Growth Models
Structural Equation Modeling, 2023Sarah Depaoli, Ihnwhi Heo, Fan Jia
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Propensity score weighting under limited overlap and model misspecification
Statistical Methods in Medical Research, 2020Roland Matsouaka +2 more
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