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Journal of Statistical Theory and Applications (JSTA), 2020 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]
مجلة جامعة الانبار للعلوم الصرفة, 2014 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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n effective treatment of adding-up restrictions in the inference of a general linear model
AIMS Mathematics, 2023 This article offers a general procedure of carrying out estimation and inference under a linear statistical model $ {\bf y} = {\bf X} \pmb{\beta} + \pmb{\varepsilon} $ with an adding-up restriction $ {\bf A} {\bf y} = {\bf b} $ to the observed random ...
Yongge Tian
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Location Of Objects with a High Degree of Inner Precision
Slovak Journal of Civil Engineering, 2014 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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Effect of climatic variables on production and reproduction traits of colored broiler breeder poultry [PDF]
Veterinary World, 2015 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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Upper bounds for the Euclidean distances between the BLUPs
Special Matrices, 2018 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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Combination of Fuzzy Logic and Kriging Technique Under Uncertainty for Spatial Data Prediction [PDF]
مجلة التربية والعلم, 2022 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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Statistica, 2014 In this article, we derived the Best Linear Unbiased Estimator (BLUE) of the location parameter of certain distributions with known coefficient of variation by record values. Efficiency comparisons are also made on the proposed estimator with some of the
N. K. Sajeevkumar, M. R. Irshad
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IET Signal Processing, 2021 For a Hammerstein system subject to a stochastic input that is spectrally coloured, this study is first in the open literature (to the present authors' best knowledge) to estimate its linear dynamic subsystem.
Tsair‐Chuan Lin, Kainam Thomas Wong
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Best Linear Unbiased Estimators for Repeated Surveys [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980 Summary Recent work on the problem of obtaining best linear unbiased estimators from a sample survey which is repeated on several occasions has centred on the effects of extending the model assumptions to allow for stochastic variation in the parameters being estimated.
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