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Local influence in null intercept measurement error regression under a Student_t model
(Routledge Journals, Taylor & Francis LtdAbingdonInglaterra, 2005)
Heteroscedastic controlled calibration model applied to analytical chemistry
(JOHN WILEY & SONS LTD, 2010)
In chemical analyses performed by laboratories, one faces the problem of determining the concentration of a chemical element in a sample. In practice, one deals with the problem using the so-called linear calibration model, ...
Causality and the modeling of the measurement process in quantum theory
(Sciendo, 2017-12)
In this paper we provide a general account of the causal models which attempt to provide a solution to the famous measurement problem of Quantum Mechanics (QM). We will argue that'leaving aside instrumentalism which restricts ...
Semiparametric Bayesian inference for multilevel repeated measurement data
(WILEY, 2007)
We discuss inference for data with repeated measurements at multiple levels. The motivating example is data with blood counts from cancer patients undergoing multiple cycles of chemotherapy, with days nested within cycles. ...
A family of experiments to validate measures for UML activity diagrams of ETL processes in data warehouses
(11/01/2010)
In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone ...
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 ...
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 ...
Measurement error models with nonconstant covariance matrices
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2002)
In this paper we consider measurement error models when the observed random vectors are independent and have mean vector and covariance matrix changing with each observation. The asymptotic behavior of the sample mean ...
Comparison of linear measurements and analyses taken from plaster models and three-dimensional images
(2014)
Digital models are an alternative for carrying out analyses and devising treatment plans in orthodontics. The objective of this study was to evaluate the accuracy and the reproducibility of measurements of tooth sizes, ...
Modeling approach based on experimental results for prediction of measurement errors in energy meters
(2009-12-01)
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 ...