Estimation of linear contrasts in experimental design, and testing their assumed values, is considered when the error distributions from block to block are not necessarily identical. The normal-theory solutions are shown to have low efficiencies as compared to the solutions presented here
The robustness of incomplete block designs to the loss of all observations in a block is investigate...
To gain an appreciation or understanding for the title of this study we must first understand what t...
Many experiments measure a response that cannot be adequately described by a linear model withnormal...
We consider one-way classification model in experimental design when the errors have generalized sec...
AbstractWe consider one-way classification model in experimental design when the errors have general...
Yıldırım et al. [5] estimated the model parameters and introduced a test statistic in one-way classi...
When experimental units are grouped into homogeneous blocks, differences among experimental treatmen...
The present article considers the problem of consistent estimation in measurement error models. A li...
Not AvailableRobustness of incomplete block designs against the unavailability of data has been inve...
Abstract The relationship between the linear errors-in-variables model and the corresponding ordinar...
The error contrasts from an experimental design can be constructed from uncorrelated residuals norma...
Large sample standard errors of linear equating for the single-group design are derived without maki...
The computer construction of optimal or near-optimal experimental designs is common in practice. Sea...
Abstract: A new approach to comparative design efficiencyis given in linear estimation and in tests ...
Minimizing type I and type II errors with appropriate sample sizes in order to have convincing concl...
The robustness of incomplete block designs to the loss of all observations in a block is investigate...
To gain an appreciation or understanding for the title of this study we must first understand what t...
Many experiments measure a response that cannot be adequately described by a linear model withnormal...
We consider one-way classification model in experimental design when the errors have generalized sec...
AbstractWe consider one-way classification model in experimental design when the errors have general...
Yıldırım et al. [5] estimated the model parameters and introduced a test statistic in one-way classi...
When experimental units are grouped into homogeneous blocks, differences among experimental treatmen...
The present article considers the problem of consistent estimation in measurement error models. A li...
Not AvailableRobustness of incomplete block designs against the unavailability of data has been inve...
Abstract The relationship between the linear errors-in-variables model and the corresponding ordinar...
The error contrasts from an experimental design can be constructed from uncorrelated residuals norma...
Large sample standard errors of linear equating for the single-group design are derived without maki...
The computer construction of optimal or near-optimal experimental designs is common in practice. Sea...
Abstract: A new approach to comparative design efficiencyis given in linear estimation and in tests ...
Minimizing type I and type II errors with appropriate sample sizes in order to have convincing concl...
The robustness of incomplete block designs to the loss of all observations in a block is investigate...
To gain an appreciation or understanding for the title of this study we must first understand what t...
Many experiments measure a response that cannot be adequately described by a linear model withnormal...
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