Results 111 to 120 of about 13,095 (150)

Position Estimation under Model Misspecification

2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017
When time-based radio range measurements between network nodes are perturbed by a line-of-sight blocking obstacle, position estimation accuracy degrades significantly. The perturbation is caused by multipath propagation or excess delays since waves travel at slower speed while piercing the obstacles.
Mendrzik, Rico, Bauch, Gerhard
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A SIMPLE CORRECTION FOR LOCAL MISSPECIFICATION

Bulletin of Economic Research, 1986
ABSTRACTIn this note a method of updating, or correcting, ML estimates is outlined1 when departures from the assumed model are detected but believed to be small. These corrections have a particular simple regression interpretation and are thus easily obtained from standard regression packages by the applied worker. Inferences may also be drawn based on
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A Measure of Robustness to Misspecification

American Economic Review, 2015
Researchers often report estimates and standard errors for the object of interest (such as a treatment effect) based on a single specification of a statistical model. We propose a systematic approach to assessing sensitivity to specification. We construct estimates of the object of interest for each of a large set of models.
Susan Athey, Guido Imbens
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Model misspecification in Data Envelopment Analysis

Annals of Operations Research, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Heterogeneity and misspecifications in learning

Journal of Economic Dynamics and Control, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Diagnostics of model misspecification

1996
In section 1.2, we denoted the true regression relationship between Y and x by µ(x), and we noted that µ(x) is generally unknown, although in practice it is approximated by a parametric function f (x, θ). Because we use this f to make some statistical inferences, however, we must be able to determine whether or not our choice of f is accurate.
Sylvie Huet, Annie Bouvier, Marie-Anne Gruet, Emmanuel Jolivet   +3 more
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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, Inge Thorsen, Jan Ubøe   +2 more
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A Grouping Test for Misspecification

Econometrica, 1979
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Dynamic Concern for Misspecification

We consider an agent who posits a set of probabilistic models for the payoff- relevant outcomes. The agent has a prior over this set but fears the actual model is omitted and hedges against this possibility. The concern for misspecification is endogenous: If a model explains the previous observations well, the concern attenuates. We show that different
Lanzani, Giacomo, Skrzypacz, Andrzej, Sugaya, Takuo, Ramos, João, Bardhi, Arjada, Board, Simon, Madsen, Erik   +6 more
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Misspecification Tests in Econometrics

1989
Misspecification tests play an important role in detecting unreliable and inadequate economic models. This book brings together many results from the growing literature in econometrics on misspecification testing. It provides theoretical analyses and convenient methods for application.
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