Add to ORKGWhen the errors are normally independently distributed with equal variance, the maximum likelihood estimator of the slope of a linear functional relationship is the slope of the line minimizing the sum of squared deviations orthogonal to the line. The exact density and distribution of this estimator are obtained. Approximate distributions are obtained, and their accuracies are discussed
Anomalies of the magnitude of the bias of the maximum likelihood estimator of the regression slope.T...
It is shown that the exact distribution of the LIML estimator in a general and leading single equati...
This article introduces a semiparametric extension of generalized linear models that is based on a f...
When the errors are normally independently distributed with equal variance, the maximum likelihood e...
When the errors are normally independently distributed with equal variance, the maximum likelihood e...
The distributions of the Limited Information Maximum Likelihood estimator for the coefficient of one...
We present a new, efficient maximum empirical likelihood estimator for the slope in linear regressio...
This paper derives the exact probability density function of the limited information maximum likelih...
It is shown that the exact finite sample distribution of the limited information maximum likelihood (...
This thesis has two distinct parts. The second and third chapters concern the theory and practical ...
AbstractThis paper provides an exposition of alternative approaches for obtaining maximum- likelihoo...
Ordinary least squares (OLS) and Linear (LIN) estimators are commonly used in estimating the paramet...
This paper derives some exact finite sample distributions and characterizes the tail behavior of maxi...
Typescript (photocopy).A set of multivariate observations is said to satisfy a linear functional rel...
AbstractThis paper considers the Maximum Likelihood (ML) estimation of the five parameters of a line...
Anomalies of the magnitude of the bias of the maximum likelihood estimator of the regression slope.T...
It is shown that the exact distribution of the LIML estimator in a general and leading single equati...
This article introduces a semiparametric extension of generalized linear models that is based on a f...
When the errors are normally independently distributed with equal variance, the maximum likelihood e...
When the errors are normally independently distributed with equal variance, the maximum likelihood e...
The distributions of the Limited Information Maximum Likelihood estimator for the coefficient of one...
We present a new, efficient maximum empirical likelihood estimator for the slope in linear regressio...
This paper derives the exact probability density function of the limited information maximum likelih...
It is shown that the exact finite sample distribution of the limited information maximum likelihood (...
This thesis has two distinct parts. The second and third chapters concern the theory and practical ...
AbstractThis paper provides an exposition of alternative approaches for obtaining maximum- likelihoo...
Ordinary least squares (OLS) and Linear (LIN) estimators are commonly used in estimating the paramet...
This paper derives some exact finite sample distributions and characterizes the tail behavior of maxi...
Typescript (photocopy).A set of multivariate observations is said to satisfy a linear functional rel...
AbstractThis paper considers the Maximum Likelihood (ML) estimation of the five parameters of a line...
Anomalies of the magnitude of the bias of the maximum likelihood estimator of the regression slope.T...
It is shown that the exact distribution of the LIML estimator in a general and leading single equati...
This article introduces a semiparametric extension of generalized linear models that is based on a f...