Results 151 to 160 of about 661 (172)
Some of the next articles are maybe not open access.
C. R. Rao's minque under four two‐way anova models
Biometrical Journal, 1980AbstractThis paper presents C. R. RAO'S MINQUE along with their sample variances under four normal two‐way ANOVA models. The resulting formulae are similar to the ANOVA sums of squares, equally easy to handle with and may also serve to calculate restricted maximum likelihood estimates in a highly efficient way.
J. Kleffe
semanticscholar +2 more sources
Über die schätzmethode minque von C. R. Rao und ihre veraugemeinerung
Mathematische Operationsforschung und Statistik, 1972The authors give a very simplified proof of the construction procedure of the estimation principle MINQUE presented by C.R.RAO. They show that every MINQUE estimation can be constructed in this manner. They further generalize this procedure to the r-MINQUE principle involving a larger class of problems.
J. Focke, G. Deweß
semanticscholar +3 more sources
Application of minque procedure to block designs
Communications in Statistics - Theory and Methods, 1976Method of minimum norm quadratic unbiased estimation (MINQUE) is applied to incomplete block designs. Simple formulae are derived for a class of designs which includes the balanced designs.
K.R. Shah, S.C. Puri
openaire +1 more source
Anova and minque type of estimators for the one-way random effects model
Communications in Statistics - Theory and Methods, 1984The one-way random effects model with unequal variances and unequal sample sizes is considered. Estimation of the variances, variance of a single observation (total variance), and the standard error of the unweighted mean are considered. Precision of the Analysis of Variance and Unweighted Sums of Squares type of estimators and the Minimum Norm ...
P. Rao, E. A. Sylvestre
semanticscholar +2 more sources
Comparison of MINQUE and Simple Estimate of the Error Variance in the General Linear Models
Acta Mathematicae Applicatae Sinica, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mi-Xia Wu
exaly +3 more sources
Unbalancedness and Efficiency in Estimating Components of Variance: MINQUE and ANOVA Procedure
Biometrical Journal, 1982AbstractWe consider the one‐way classification random model. Using a measure of unbalancedness some MINQ‐Estimation procedures and ANOVA‐procedure have been investigated with respect to their sensibility to unbalancedness.Further if we define the efficiency of a design N as the ratio of the MSE (.)'s of the balanced and the unbalanced case we obtain ...
Ahrens, Heinz, Sanchez, J.
openaire +2 more sources
Assessment of observations using minimum norm quadratic unbiased estimation (minque)
CISM journal, 1990Estimation of the variances and covariances of observations in geodetic and engineering surveys of high precision is of great importance for proper weighting of the observations in their subsequent processing and for better understanding of sources of errors and their modeling. The authors have adopted from modern statistics the Minimum Norm Quadratic
Yong-qi Chen +2 more
semanticscholar +2 more sources
Matrix free computation of C.R. Rao's MINQUE for unbalanced nested classification models
Computational Statistics & Data Analysis, 1984The paper presents a calculation of Rao's minimum norm quadratic unbiased estimators (MINQUE) for variance components and a generalization of the matrix-free technique of Hemmerle to an arbitrary weighting matrix in the case of nested classification models.
J. Kleffe, B. Seifert
semanticscholar +3 more sources
On estimation of diagonal covariance matrices by minque
Communications in Statistics - Theory and Methods, 1977Let Y = Xβ + ϵ be a general linear statistical model with co-variance matrix of the form , where δi, is a known diagonal matrix and σi is an unknown scalar. This form includes the I common linear regression model with uncorrelated observations, with or without replications; the random coefficients model of Hildreth and Houck (1968); and numerous mixed ...
openaire +1 more source