Results 21 to 30 of about 661 (172)
Exact Optimality of Balanced Designs for Minimum Norm Quadratic Unbiased Estimation of Variance Components in one-way Classified data [PDF]
The Egyptian Statistical Journal, 2004 This paper develops an exact theory for the optimality of balanced designs under minimum norm quadratic unbiased estimation of variances components in one-way classified data.
Mohamed Mohamed El-Abd
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Comparison Between the Minque and the PSD-Minqmbe in the Unbalanced One Way Random Effects Model [PDF]
The Egyptian Statistical Journal, 1994 The PSD-MINOMBE (Positive Semi Definite - Minimum Norm Quadratic Minimum Biased Estimator) for estimating the variance components in the unbalanced one way random effects model is given by Shaban (1990).
Abdel Magid Shaban
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Journal of Computer Adaptive Testing in Africa, 2022 This study applied Generalizability Theory to estimate variance components in Senior Secondary School Certificate Examination (SSSCE) Physics essay questions using a two-facet fully crossed G-study and D-study design.
Blessing Iheanyichukwu Nwuchegbu
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On Interclass and Intraclass Correlations of Familial Data with Application on Hemoglobin Level from EDHS 2000 Familial Data [PDF]
The Egyptian Statistical Journal, 2007 In the analysis of familial data, the primary aim is to estimate the degree of resemblance between family members. Here we are interested in the special case where one group of family members consists of one individual, as typified in the following ...
Zakaria Abd El-Wahed
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, 1998 Summary: This paper is concerned with the estimation of correlated response variance from unbalanced data in complex surveys. The Minimum Variance Quadratic Unbiased Estimator (MINQUE) proposed by \textit{C. R. Rao} [J. Multivariate Anal. 1, 257-275 (1971; Zbl 0223.62086); J. Am. Stat. Assoc.
Gao, Sujuan, Smith, T.M.F.
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Methods of variance component estimation
Czech Journal of Animal Science, 2006 Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component ...
D. Rasch, O. Mašata
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ACCURACY ANALYSIS OF HRSI-BASED GEOPOSITIONING USING LEAST SQUARES COLLOCATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Rational function model with bias compensation has been widely used in geopositioning of High Resolution Satellite Imagery (HRSI). We studied the geopositioning issue using a pair of QuickBird imagery in the Shanghai urban area with 126 Control Points (
Y. Shen +7 more
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, 2021 Fixed and random effects parameter estimates and CI Limits under both REML and bootstrap by means of MINQUE methods of estimation for real data.
Said Ali Shah (11725462) +3 more
core +1 more source
The Impact of Noise in a GRACE/GOCE Global Gravity Model on a Local Quasi‐Geoid
Journal of Geophysical Research: Solid Earth, Volume 124, Issue 3, Page 3219-3237, March 2019., 2019 Abstract We present a local quasi‐geoid (QG) model which combines a satellite‐only global gravity model with local data sets using weighted least squares. The QG is computed for an area comprising the Netherlands, Belgium, and the southern North Sea. It uses a two‐scale spherical radial basis function model complemented by bias parameters to account ...
Cornelis Slobbe +6 more
wiley +1 more source