AbstractFor the estimation of coefficients in a measurement error model, the least squares method utilizing original observations and averaged observations over replications provides inconsistent estimators. Based on these, consistent estimators are formulated and asymptotic properties are analyzed
summary:The least squres invariant quadratic estimator of an unknown covariance function of a stocha...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
Accuracy evaluation is an integral part of parameter estimation by least-squares analysis. We presen...
For the estimation of coefficients in a measurement error model, the least squares method utilizing ...
AbstractFor the estimation of coefficients in a measurement error model, the least squares method ut...
The present article considers the problem of consistent estimation in measurement error models. A li...
This paper considers consistent estimation in functional comparative calibration models with replica...
A multivariate ultrastructural measurement error model is considered and it is assumed that some pri...
This paper considers consistent estimation of generalized linear models with covariate measurement e...
We provide new tools for diagnosing and mitigating measurement error in list experiments. First, we...
AbstractA multivariate ultrastructural measurement error model is considered and it is assumed that ...
We propose a semiparametric estimator for varying coefficient models when the regressors in the nonp...
Abstract—This article is concerned with the estimation of a varying-coefficient regression model whe...
In this paper an algorithm is given to compute least squares estimates for the parameters of a dynam...
We consider quasilikelihood models when some of the predictors are measured with error. In many case...
summary:The least squres invariant quadratic estimator of an unknown covariance function of a stocha...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
Accuracy evaluation is an integral part of parameter estimation by least-squares analysis. We presen...
For the estimation of coefficients in a measurement error model, the least squares method utilizing ...
AbstractFor the estimation of coefficients in a measurement error model, the least squares method ut...
The present article considers the problem of consistent estimation in measurement error models. A li...
This paper considers consistent estimation in functional comparative calibration models with replica...
A multivariate ultrastructural measurement error model is considered and it is assumed that some pri...
This paper considers consistent estimation of generalized linear models with covariate measurement e...
We provide new tools for diagnosing and mitigating measurement error in list experiments. First, we...
AbstractA multivariate ultrastructural measurement error model is considered and it is assumed that ...
We propose a semiparametric estimator for varying coefficient models when the regressors in the nonp...
Abstract—This article is concerned with the estimation of a varying-coefficient regression model whe...
In this paper an algorithm is given to compute least squares estimates for the parameters of a dynam...
We consider quasilikelihood models when some of the predictors are measured with error. In many case...
summary:The least squres invariant quadratic estimator of an unknown covariance function of a stocha...
This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in...
Accuracy evaluation is an integral part of parameter estimation by least-squares analysis. We presen...
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