Results 11 to 20 of about 6,570,426 (256)
Robustness of the best linear unbiased estimator and predictor in linear regression models [PDF]
summary:If is shown that in linear regression models we do not make a great mistake if we substitute some sufficiently precise approximations for the unknown covariance matrix and covariance vector in the expressions for computation of the best linear ...
Štulajter, František
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Location Of Objects with a High Degree of Inner Precision
Let us have two coordinate systems in a plane. In the first one (e.g. JTSK) the accuracy of the coordinate estimators is signicantly lower than the accuracy in the other system (the inner system of an object).
Kubáček Lubomír
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Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses
Fixed-effect meta-analyses aim to estimate the common mean parameter by the best linear unbiased estimator. Besides unbiasedness, consistency is one of the most fundamental requirements for the common mean estimator to be valid.
Nanami Taketomi, Takeshi Emura
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The ranked-set sampling technique has been generalized so that a more efficient estimator may be obtained. This technique allows more than one unit from each set to be quantified.
A. Adatia, A.K.MD. Ehsanes Saleh
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Recovering Jackknife Ridge Regression Estimates from OLS Results [PDF]
The aim of this paper is addressing or recalculate the estimation methods in multiple linear regression model when there is a problem of Multicollinearity in this model like the ridge regression for Hoerl and Kannard, Baldwin estimator (HKB) and ...
Feras Sh. Mahmood
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Best Quadratic unbiased Estimator for Variance Component of One-Way Repeated Measurement Model [PDF]
The studies of analysis of variance components is one of the important topics in mathematical statistics for this subject of wide application. In this paper given best quadratic unbiased estimator of variance components for balanced data for linear one ...
Jasim Mohammed Ali +3 more
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Upper bounds for the Euclidean distances between the BLUPs
In this article we consider the general linear model {y, X ß, V} where y is the observable random vector with expectation X ß and covariance matrix V. Our interest is on predicting the unobservable random vector y* which comes from y* = X* ß + ƹ* where ...
Markiewicz Augustyn, Puntanen Simo
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Effect of climatic variables on production and reproduction traits of colored broiler breeder poultry [PDF]
Aim: The present study was conducted to investigate the important climatic variables affecting production and reproduction in a broiler breeder flock. Materials and Methods: The experiment was conducted for a period of 1 year on colored synthetic female
G. D. Nayak +3 more
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Combination of Fuzzy Logic and Kriging Technique Under Uncertainty for Spatial Data Prediction [PDF]
This paper deals with the spatial prediction in Geostatistics. This paper depend on interpellation methods of spatial statistic (ordinary kriging technique) to combination with fuzzy logic under uncertainty for spatial data prediction. This work includes
Safa Ibrahim, Ghanim Dhaher
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Linearity of Unbiased Linear Model Estimators
Best linear unbiased estimators (BLUE’s) are known to be optimal in many respects under normal assumptions. Since variance minimization doesn’t depend on normality and unbiasedness is often considered reasonable, many statisticians have felt that BLUE’s ...
Portnoy, Stephen, Stephen Portnoy
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