Results 11 to 20 of about 88,814 (288)
Henderson's method approach to Kernel prediction in partially linear mixed models
Cumhuriyet Science Journal, 2020 In this article, we propose Kernel prediction in partially linear mixed models by using Henderson's method approach. We derive the Kernel estimator and the Kernel predictor via the mixed model equations (MMEs) of Henderson's that they give the best ...
Seçil Yalaz, Özge Kuran
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PENDUGAAN PARAMETER REGRESI ROBUST METODE MINIMUM COVARIANCE DETERMINANT DAN METODE TELBS
E-Jurnal Matematika, 2023 The parameter estimator on the regression model can be obtained through the ordinary least square (OLS). When there are outliers in the data, OLS cannot be applied because it will produce an unbiased estimator that is not the best linear estimator ...
NI KETUT ZELINA YERISKA +2 more
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Best Linear Unbiased Estimation of the nuclear masses [PDF]
Annals of Nuclear Energy, 2011 This paper presents methods to provide an optimal evaluation of the nuclear masses. The techniques used for this purpose come from data assimilation that allows combining, in an optimal and consistent way, information coming from experiment and from numerical model.
Bouriquet, Bertrand +1 more
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Ancestral Spectrum Analysis With Population-Specific Variants
Frontiers in Genetics, 2021 With the advance of sequencing technology, an increasing number of populations have been sequenced to study the histories of worldwide populations, including their divergence, admixtures, migration, and effective sizes.
Gang Shi, Qingmin Kuang
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Best Linear Unbiased Allele‐Frequency Estimation in Complex Pedigrees [PDF]
Biometrics, 2004 Summary. Many types of genetic analyses depend on estimates of allele frequencies. We consider the problem of allele‐frequency estimation based on data from related individuals. The motivation for this work is data collected on the Hutterites, an isolated founder population, so we focus particularly on the case in which the relationships among the ...
McPeek, Mary Sara +2 more
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Consistency of the Estimator for the Common Mean in Fixed-Effect Meta-Analyses
Axioms, 2023 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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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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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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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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