Results 51 to 60 of about 661 (172)
Estimating variance components in linear models [PDF]
, 1976 Estimation of variance components in linear model theory is presented as an application of estimation of the mean by introducing a dispersion-mean correspondence.
Pukelsheim, Friedrich
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Estimation of Heritability under Correlated Errors Using the Full-Sib Model. [PDF]
Genes (Basel), 2023 Paul AK +4 more
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minque: An R Package for Analyzing Various Linear Mixed Models
, 2019 Linear mixed model (LMM) approaches offer much more flexibility comparing ANOVA (analysis of variance) based methods. There are three commonly used LMM approaches: maximum likelihood, restricted maximum likelihood, and minimum norm quadratic unbiased ...
Wu, Jixiang
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Estimation of heteroscedastic variances on a linear models
, 1970 Let Y=Xβ + e be a Gauss-Markoff linear model such that E(e)=0 and D(e), the dispersion matrix of the error vector, is a diagonal matrix Δ whose ith diagonal element is σi2, the variance of the ith observation yi.
Radhakrishna Rao, C.
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Stochastic modelling for vision-based indoor navigation
, 2017 Ubiquitous navigation is becoming highly demanded as Location-Based Service (LBS) becomes increasingly popular. In outdoor environments, Global Navigation Satellite System (GNSS) has been developing rapidly over the past few decades.
Chen, Kai
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The nonnegative MINQUE estimate
The purpose of this paper is to give a characterization of the nonnegative MINQUE estimate for variance components. A similar characterization has been given by Pukelsheim but only in some special cases.
Massam, Helene, Muller, Jochen
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, 2014 In the study, some important methods such as; ANOVA, Henderson III, ML, REML and MINQUE which are commonly used in literature to estimate variance components, were aimed to investigate comparatively for balanced and unbalanced data in animal science.
Doğan, İlkay, Kılıç, İbrahim
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Comparison of the Stochastic Models for Double-Differenced GPS Measurements
, 2013 Double-differenced GPS carrier phase measurements are commonly used in GPS precise positioning applications and processed with algorithms based on the least-squares (LS) principle. In order to apply the LS principle, one needs to define properly both the
Kimata, Fumiaki, Darmawan, Dudy
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Computation of variance components by the MINQUE method
We present a new method of computing C. R. Rao's MINQUE in variance component models (y = X[beta] + U1[xi]1 + ... + Up[xi]p), which requires only inversion and storage of ni - ni matrices, where ni is the number of columns in Ui.
Seifert, B., Kleffe, J.
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, 1993 "This dissertation concerns with some estimations of heteroskedastic models and tests for heteroskedasticity. We reconsider the minimum norm quadratic unbiased estimation (MINQUE) to obtain an alternative estimator of variance-covariance matrix in ...
Suprayitno, Totok
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