Results 291 to 300 of about 23,103 (324)

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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Model misspecification in proportional hazards regression

Biometrika, 1995
Summary: The proportional hazards model is frequently used to evaluate the effect of treatment on failure time events in randomised clinical trials. Concomitant variables are usually available and may be considered for use in the primary analyses under the assumption that incorporating them may reduce bias or improve efficiency.
Anderson, Garnet L., Fleming, Thomas R.
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Model Misspecification and Multipoint Linkage Analysis

Human Heredity, 1992
Pairwise linkage analysis is robust to genetic model misspecification provided dominance is correctly specified, the primary effect being inflation of the recombination fraction. By contrast, we show that multipoint analysis under misspecified models is not robust when a putative disease locus is placed between close flanking markers, with potentially ...
N, Risch, L, Giuffra
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The Relationship Between the Standardized Root Mean Square Residual and Model Misspecification in Factor Analysis Models

Multivariate Behavioral Research, 2018
We argue that the definition of close fitting models should embody the notion of substantially ignorable misspecifications (SIM). A SIM model is a misspecified model that might be selected, based on parsimony, over the true model should knowledge of the ...
Dexin Shi, Albert Maydeu-Olivares, C. Distefano   +2 more
semanticscholar   +1 more source

Performance bound for Target Localization under Model Misspecification

2019 IEEE 5th International Conference on Computer and Communications (ICCC), 2019
In positioning problems, the assumed data distribution could differ from the true one, leading to inaccurate target position estimation. Cramér–Rao bound (CRB), a lower bound on the variance of estimators that requires the parametric model to be ...
Mingbing Li, Yijun Li, Q. Wan
semanticscholar   +1 more source

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
openaire   +1 more source

Regression Diagnostic under Model Misspecification

Journal of Applied Statistics, 2007
We 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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MODEL MISSPECIFICATION NOT THE NODE-DENSITY ARTIFACT

Evolution, 2008
Hugall 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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The Consequences Of Model Misspecification In Regression Analysis

Multivariate Behavioral Research, 1976
In 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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Misspecification in dynamic models

1997
Within the class of ARMAX models we consider the effects that omitted explanatory processes have on the dynamic shape and the exogeneity properties of economic relations. We show that, under suitable assumptions, a well defined "misspecified" ARMAX model exists and is unique.
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