منابع مشابه
Shift outliers in linear inference
Shifts in responses typically are obscured to users, so that regression proceeds as if unshifted. At issue is the infusion of such shifts into the classical analysis. On projecting outliers into the “Regressor” and “Error” spaces of a model, our findings are that shifts in responses account for shifts in the OLS solutions and for inflated residuals. These in turn impact estimation, prediction, ...
متن کاملOutliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes’ inferred neural network classifiers in the context of outlier detection. The problem of misclassification due to outliers in the test data is seen as a serious problem in safety critical environments. We compare the usual way to deal with uncertainty in the Bayesian framework with a new approach based on...
متن کاملDetection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions
The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. In addition, we derive the corrected score test statistic for outliers detection ba...
متن کاملThe Bayesian Inference and Outliers Detection in Phototriangulation
The Bayesian inference along with the step-by-step technique allows foresee a possibility to increase the efficiency and reliability of phototriangulation. It also appears to improve the strength of the block, in order to increase the economy with respect to control points. The used methodology consists on simulation of a 25 points mesh, from which a block of aerial photos is generated. Random ...
متن کاملdetection of outliers and influential observations in linear ridge measurement error models with stochastic linear restrictions
the aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. in addition, we derive the corrected score test statistic for outliers detection ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 2015
ISSN: 0047-259X
DOI: 10.1016/j.jmva.2015.01.012