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FINDRISC in Latin America: a systematic review of diagnosis and prognosis models
(BMJ Publishing Group, 2020)
This review aimed to assess whether the FINDRISC, a risk score for type 2 diabetes mellitus (T2DM), has been externally validated in Latin America and the Caribbean (LAC). We conducted a systematic review following the ...
Robust statistical modeling using the Birnbaum-Saunders-t distribution applied to insurance
(WILEY-BLACKWELLHOBOKEN, 2012)
In this paper, we carry out robust modeling and influence diagnostics in Birnbaum-Saunders (BS) regression models. Specifically, we present some aspects related to BS and log-BS distributions and their generalizations from ...
Inference in multivariate regression models with measurement errors
(2023)
Multivariate regression models are helpful in many fields. However, independent variables (covariates or predictors) could be measured with error. That implies the necessity of considering a new kind of model called ...
Influence diagnostics in Gaussian spatial-temporal linear models with separable covariance
(2023)
In recent decades, there has been a growing interest in modeling spatial-temporal data, which can be found in many fields including geoscience, meteorology and ecology, among many others. The spatial-temporal dependence ...
The generalized log-gamma mixture model with covariates: local influence and residual analysis
(SPRINGER HEIDELBERG, 2009)
In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored ...
A general long-term aging model with different underlying activation mechanisms: Modeling, Bayesian estimation, and case influence diagnostics
(Taylor & Francis Inc, 2017-01-01)
In this paper we propose a general cure rate aging model. Our approach enables different underlying activation mechanisms which lead to the event of interest. The number of competing causes of the event of interest is ...
Fault Detection in a Heat Exchanger, Comparative Analysis between Dynamic Principal Component Analysis and Diagnostic Observers
(Revista Computación y Sistemas; Vol. 14 No. 3, 2011-03-08)
Abstract. A comparison between the Dynamic Principal
Component Analysis (DPCA) method and a set of
Diagnostic Observers (DO) under the same experimental
data from a shell and tube industrial heat exchanger is
presented. ...