In this paper, we will study estimation of variance components in the one-way repeated measurements model (one-way- RMM),by maximization without use numerical methods, there are many methods to estimate parameters of analysis of variance. The difficulty of this estimation increases in unbalanced repeated measurements designs. One of these methods that are frequently used in estimation is the maximum likelihood method, because of the difficulty in finding the roots of the likelihood equations, a modified method has been used for one-way- RMM in the case of two and three levels. Keywords: one-way-RMM, maximum likelihood function, estimator of variance
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
In this paper, we consider the linear one- way repeated measurements model which has only one within...
In this paper, bayesian approach based on Bayes quadratic unbiased estimator is employed to the line...
In this thesis, the Maximum Likelihood and Restricted Maximum Likelihood methods of estimating vari...
An index of repeatability is constructed to evaluate the relative magnitude of measurement error. Th...
In the Bayesian approach to inference, all unknown quantities contained in a probability model for t...
In this paper, we consider the linear one- way repeated measurements model which has only one within...
In this dissertation we focus mainly on the analysis of continuous multivariate repeated measurement...
In this study, the estimation of variance in repeated samples of size one from different populations...
In this dissertation we focus mainly on the analysis of continuous multivariate repeated measurement...
In many experimental studies, repeated observations are made on each of a number of experimental uni...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Variance components estimation originated with estimating error variance in analysis of variance by ...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
In this paper, we consider the linear one- way repeated measurements model which has only one within...
In this paper, bayesian approach based on Bayes quadratic unbiased estimator is employed to the line...
In this thesis, the Maximum Likelihood and Restricted Maximum Likelihood methods of estimating vari...
An index of repeatability is constructed to evaluate the relative magnitude of measurement error. Th...
In the Bayesian approach to inference, all unknown quantities contained in a probability model for t...
In this paper, we consider the linear one- way repeated measurements model which has only one within...
In this dissertation we focus mainly on the analysis of continuous multivariate repeated measurement...
In this study, the estimation of variance in repeated samples of size one from different populations...
In this dissertation we focus mainly on the analysis of continuous multivariate repeated measurement...
In many experimental studies, repeated observations are made on each of a number of experimental uni...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Variance components estimation originated with estimating error variance in analysis of variance by ...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...
Repeated measurements often are analyzed by multivariate analysis of variance (MANOVA). An alternati...