best-linear-unbiased estimates
Estimation of parameters of a two-parameter rectangular distribution and its characterization by k-th
... In this paper, we shall make use of the properties of the k-th upper record val- ues to develop inferential procedures such as point estimation. We shall obtain the best linear unbiased ...
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Genome-wide association study of rice genes and loci conferring resistance to Magnaporthe oryzae isolates from Taiwan
... BLUEs: best linear unbiased estimates; ETI: effector‑triggered immunity; GLM: generalized linear model; GO: gene ontology; GSOR: Genetics Stocks Oryza; GWAS: genome‑wide association ...
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Estimation of Inverse Rayleigh Distribution Parameters for Type II Singly and Doubly Censored Data Based on Lower Record Values
... coefficients estimates and asymptotic properties of the estimates from the two parameters Rayleigh ...distribution. Estimates of the scale parameter of exponentiated Gamma distribution under Type II ...
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On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope
... For instance, a recent study by Su et al. (2012) partitions genetic variance into additive and dominant, in such a way that these estimated variances are not directly comparable to pedigree-based estimates. In ...
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BEST LINEAR UNBIASED ESTIMATE USING BUYS-BALLOT PROCEDURE WHEN TREND-CYCLE COMPONENT IS LINEAR
... and compared with those from the Least Squares Estimation (LSE) method and Simple Average Estimation (SAE) method of the Buys-Ballot derived variables. As Table 4 shows, BLUE recovers the values of the slope and ...
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Two Parameter Laplace Type Bimodal Distribution
... and estimates of the parameters were obtained through Method of Moments and Maximum Likelihood Estimation ...Minimum unbiased estimator of the location parameter and best linear ...
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Empirical Best Linear Unbiased Prediction for Out of Sample Areas
... interest. Estimates for these domains based on the classical design-based approach to survey sampling inference are often called direct estimates in the ...
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Initial evaluation of half sib progenies of Norway spruce using the best linear unbiased prediction
... Given the estimates of genetic parameters, it is possible to predict genetic response under vari- able selection intensity. Two alternative selection scenarios were considered. In the first alternative, it was ...
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Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
... for Best Linear Unbiased Prediction (BLUP) [1], using whole-genome ...their estimates are widely used for prediction of the merit of selection ...candidates. Estimates of marker or ...
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Bayesian models applied to genomic selection for categorical traits
... Generalized Linear Mixed Model (GLMM) can be ...of linear relationship between predictors and categorical ...mixed linear model (BLMM), ignoring the assumption of normality of the data and residuals ...
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An empirical Bayes derivation of best linear unbiased predictors
... mixed linear model, namely, Y = Xβ+ Zυ+ e , where Z is a known design matrix, while e is a vector of errors which is uncorrelated with random vector υ ...likelihood estimates,” and has assumed that υ and e ...
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Three Parameter Laplace Type Bimodal Distribution
... and estimates of the parameters were obtained through Method of Moments and Maximum Likelihood Estimation ...Minimum unbiased estimator of the location parameter and best linear ...
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Assessment of genetic diversity in Coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD seq
... Objective: Selective breeding for desirable traits is becoming popular in aquaculture. In Miyagi prefecture, Japan, a selectively bred population of Coho salmon (Oncorhynchus kisutch) has been established with the ...
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Grade estimation of Zu2 Jajarm deposit by considering imprecise variogram model parameters based on the extension principle
... the best linear unbiased estimator, is one of the common methods to find the weight of surrounding samples and the grade is estimated based on the spatial structure of ...a linear weighting ...
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A study of adjustment factors for the weaning weights of Hereford and Angus calves : a thesis presented in partial fulfilment of the requirements for the degree of Master of Agricultural Science in Animal Science at Massey University
... Estimates for age-of-dam effects >·rere also obtained b:,.· b e st linear unbiased estimation proceduxes from.. the records of 7698 Hereford c alves.[r] ...
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Best Linear Unbiased Estimation Fusion with Constraints
... Due to the capacity constraints at the communication links, the measurements from the sensors are transmitted at a rate insufficient to convey all observations reliably. Therefore, the observations are vector quantized ...
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On Marker-Assisted Prediction of Genetic Value: Beyond the Ridge
... molecular information can be used to advantage in ge- program. These two objectives may not be disjoint (e.g., netic improvement programs of agricultural species, Fernando and Grossman 1989). However, genetic car- such ...
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Applied statistical modelling and inference in ophthalmology : analysis of visual field and video data for glaucoma patients : a thesis presented in total fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Manawatu, New Zealand
... Visual field mean deviation, the mean light intensity across all loci adjusted for age matched controls, provides a global estimate of glaucoma progression. We investigated the shape of the relationship between mean ...
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A Two Stage Approach for Generating Unbiased Estimates of Text Complexity
... Many existing approaches for measuring text complexity tend to overestimate the complexi- ty levels of informational texts while simulta- neously underestimating the complexity levels of literary texts. We present a ...
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Applied statistical modelling and inference in ophthalmology : analysis of visual field and video data for glaucoma patients : a thesis presented in total fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Manawatu, New Zealand
... We can compare our model to additional methods using a recent meta-analysis (Ernest et al. 2012b). While this does give an idea of high- and low-ranking methods it does not solve the problem of a lack of a gold standard ...
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