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An Illustration on the Quantile-Based Calculation of the Standard Error of Equating in Kernel Equating
(Springer Cham, 2021)
Liou and Cheng (J Educ Behav Stat 20(3):259–286, 1995) discussed large-sample approximations for the standard error of equating (SEE) using the results of Bahadur (Ann Math Stat 37(3):577–580, 1966) and Ghosh (Ann Math ...
Error estimates for full discretization of a model for Ostwald ripening
(Taylor & Francis IncPhiladelphiaEUA, 2008)
Missing observations in stochastic difference equation with arma errorsMissing observations in stochastic difference equation with arma errors
(Sociedade Brasileira de Econometria, 1987)
Del ensayo y del error hasta EQUATOR Network
(2012-11-20)
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 ...
Influence Assessment in an Heteroscedastic Errors-in-Variables Model
(TAYLOR & FRANCIS INC, 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 ...
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 ...
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 ...
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 ...