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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 ...
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 ...
Bayesian sensitivity analysis in elliptical linear regression models
(ELSEVIER SCIENCE BV, 2000)
Bayesian influence measures for linear regression models have been developed mostly for normal regression models with noninformative prior distributions for the unknown parameters. In this work we extend existing results ...
Ultrasonic density measurement cell design and simulation of non-ideal effects
(Elsevier B.V., 2006-07-01)
This paper presents a theoretical analysis of a density measurement cell using an unidimensional model composed by acoustic and electroacoustic transmission lines in order to simulate non-ideal effects. The model is ...
Ultrasonic density measurement cell design and simulation of non-ideal effects
(Elsevier B.V., 2006-07-01)
This paper presents a theoretical analysis of a density measurement cell using an unidimensional model composed by acoustic and electroacoustic transmission lines in order to simulate non-ideal effects. The model is ...
Bayesian estimation of regression parameters in elliptical measurement error models
(ELSEVIER SCIENCE BV, PO BOX 211, 2012)
Knowledge-Based Economy: Modeled, Measures, Simulated
(Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Cientifica e Tecnológica em Saúde., 2017)
Conceptualizing and measuring the “strategy execution” construct
(Elsevier Inc., 2018)
While there is abundant research on how to formulate strategies and several models of strategic positioning have been advanced, there is still scant academic research about how to conceptualize and measure strategy execution. ...
Influential observations in the functional measurement error model
(2007)
In this work we propose Bayesian measures to quantify the influence of observationson the structural parameters of the simple measurement error model (MEM). Different influencemeasures, like those based onq-divergence ...