Now showing items 1-10 of 4621
Hypothesis testing in an errors-in-variables model with heteroscedastic measurement errors
(JOHN WILEY & SONS LTD, 2008)
In many epidemiological studies it is common to resort to regression models relating incidence of a disease and its risk factors. The main goal of this paper is to consider inference on such models with error-prone ...
Effect of measurement error and autocorrelation on the (X)over-bar chart
(Routledge Journals, Taylor & Francis Ltd, 2011-01-01)
Measurement error and autocorrelation often exist in quality control applications. Both have an adverse effect on the (X) over bar chart's performance. To counteract the undesired effect of autocorrelation, we build-up the ...
Contribuições em modelos de regressão com erro de medida multiplicativo
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-02-04)
In regression models in which a covariate is measured with error, it is common to use structures that correlate the observed covariate with the true non-observed covariate. Such structures are usually additive or ...
Semiparametric Bayesian measurement error modeling
(ELSEVIER INC, 2010)
This work presents a Bayesian semiparametric approach for dealing with regression models where the covariate is measured with error. Given that (1) the error normality assumption is very restrictive, and (2) assuming a ...
Bayesian estimation of regression parameters in elliptical measurement error models
(ELSEVIER SCIENCE BV, PO BOX 211, 2012)
A Study on the Foundations of the Occurrence of Errors in Subjective Measurements
(Los Angeles, 2002-03)
Background Due to the increasing need to better understand organizational elements, subjective measurements are gaining more and more space. Problem: What are the grounds to claim that subjective measurements allow ...
Measurement error models with a general class of error distribution
(TAYLOR & FRANCIS LTD, 2010)
In general, the normal distribution is assumed for the surrogate of the true covariates in the classical error model. This paper considers a class of distributions, which includes the normal one, for the variables subject ...
A multivariate ultrastructural errors-in-variables model with equation error
(ELSEVIER INC, 2011)
This paper deals with asymptotic results on a multivariate ultrastructural errors-in-variables regression model with equation errors Sufficient conditions for attaining consistent estimators for model parameters are presented ...
Influence Assessment in an Heteroscedastic Errors-in-Variables Model
(Taylor and Francis Group, LLCPhiladelphia, 2012)
The main goal of this article is to consider influence assessment in models with error-prone observations and variances of the measurement errors changing across observations. The techniques enable to identify potential ...
Modeling approach based on experimental results for prediction of measurement errors in energy meters
This paper presents a general modeling approach to investigate and to predict measurement errors in active energy meters both induction and electronic types. The measurement error modeling is based on Generalized Additive ...