Add to ORKGAbstract: The difficulty of analyzing orthogonal saturated designs is that there are no degrees of freedom left to estimate the error variance,so that the ordinary ANOVA is no more available. The paper proposes a new method to identify n0, the number of the effect parameters which is equal to zero.This proposed method is based on the moment of order 2 of the order statistics. Consequently, The error variance is estimated and the active effects are identified
This thesis consists of six papers related to saturated orthogonal designs, spectroscopic and high d...
where X is a N×k design matrix and p(e) = N(0, σ2IN), we can estimate the coefficients from the nor...
It is shown that for many parametric families the condition for a parameter to be orthogonal to the ...
A general procedure is described for examining the significance of effects in experiments utilizing ...
Although three-level factorial designs with quantitative factors are not the most efficient way to f...
A sequence of null hypotheses regarding the number of negligible effects (zero effects) in orthogona...
A simple method is provided to construct a general class of individual and simultaneous confidence i...
Abstract: A simple method is provided to construct a general class of individual and simultaneous co...
Two-level orthogonal arrays, Stein’s estimator, Squared error loss, Uniform improvement, Simple tree...
Abstract Let X i be the ith order statistic ofˆ 2 j for 1 j k, whereˆ j 's follow independent n...
Of interest here are analysis of variance (ANOVA) designs consistent with the general linear model. ...
Any orthogonal block structure for a set of experimental units has been previously shown to be expre...
The well-known scheme for constructing a regression equation based on the least squares method works...
Not AvailableIn this paper, blocking in response surface for fitting first order model incorporating...
A generally accepted and widely used approach to solving the problem of analyzing a system of the "c...
This thesis consists of six papers related to saturated orthogonal designs, spectroscopic and high d...
where X is a N×k design matrix and p(e) = N(0, σ2IN), we can estimate the coefficients from the nor...
It is shown that for many parametric families the condition for a parameter to be orthogonal to the ...
A general procedure is described for examining the significance of effects in experiments utilizing ...
Although three-level factorial designs with quantitative factors are not the most efficient way to f...
A sequence of null hypotheses regarding the number of negligible effects (zero effects) in orthogona...
A simple method is provided to construct a general class of individual and simultaneous confidence i...
Abstract: A simple method is provided to construct a general class of individual and simultaneous co...
Two-level orthogonal arrays, Stein’s estimator, Squared error loss, Uniform improvement, Simple tree...
Abstract Let X i be the ith order statistic ofˆ 2 j for 1 j k, whereˆ j 's follow independent n...
Of interest here are analysis of variance (ANOVA) designs consistent with the general linear model. ...
Any orthogonal block structure for a set of experimental units has been previously shown to be expre...
The well-known scheme for constructing a regression equation based on the least squares method works...
Not AvailableIn this paper, blocking in response surface for fitting first order model incorporating...
A generally accepted and widely used approach to solving the problem of analyzing a system of the "c...
This thesis consists of six papers related to saturated orthogonal designs, spectroscopic and high d...
where X is a N×k design matrix and p(e) = N(0, σ2IN), we can estimate the coefficients from the nor...
It is shown that for many parametric families the condition for a parameter to be orthogonal to the ...