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Influence analysis for the generalized Waring regression model
(TAYLOR & FRANCIS LTD, 2020)
In this paper, we consider a regression model under the generalized Waring distribution for modeling count data. We develop and implement local influence diagnostic techniques based on likelihood displacement. Also we ...
A note on influence diagnostics in nonlinear mixed-effects elliptical models
(ELSEVIER SCIENCE BV, 2011)
This paper provides general matrix formulas for computing the score function, the (expected and observed) Fisher information and the A matrices (required for the assessment of local influence) for a quite general model ...
Influence diagnostics in Gaussian spatial linear models
(TAYLOR & FRANCIS LTDABINGDON, 2012)
Spatial linear models have been applied in numerous fields such as agriculture, geoscience and environmental sciences, among many others. Spatial dependence structure modelling, using a geostatistical approach, is an ...
The structural Sharpe model under t-distributions
(Taylor & Francis LtdAbingdonInglaterra, 2010)
Local influence in null intercept measurement error regression under a Student_t model
(Routledge Journals, Taylor & Francis LtdAbingdonInglaterra, 2005)
Influence diagnostics in Gaussian spatial linear models
(TAYLOR & FRANCIS LTD, 2012)
Spatial linear models have been applied in numerous fields such as agriculture, geoscience and environmen-tal sciences, among many others. Spatial dependence structure modelling, using a geostatistical approach,is an ...
Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression
(Springer, 2020)
Data with spatial dependence are often modeled by geoestatistical tools. In spatial regression, the mean response is described using explanatory variables with georeferenced data. This modeling frequently considers Gaussianity ...