best linear unbiased estimate
BEST LINEAR UNBIASED ESTIMATE USING BUYS-BALLOT PROCEDURE WHEN TREND-CYCLE COMPONENT IS LINEAR
... The Best linear unbiased estimators of Buys-Ballot estimates when trend-cycle component is linear are discussed in this ...lags. Best Linear unbiased estimators of the ...
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ESTIMATION OF THE SCALE PARAMETER FROM THE RAYLEIGH DISTRIBUTION FROM TYPE II SINGLY AND DOUBLY CENSORED DATA
... the best linear unbiased estimate (BLUE) of the scale parameter of the Rayleigh distribution for type II censored samples of size N = 20 (5) 40 for r = 0 (1) 4 number of observations censored ...
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Estimation of parameters of a two-parameter rectangular distribution and its characterization by k-th
... the best linear unbiased estimates of the parameters of a two- parameter rectangular distribution have been obtained using some properties of the k-th record ...the best linear ...
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Estimation of a system of national accounts: implementation with mathematica
... This study implements Mathematica to estimate a system of national accounts (SNA). The es- timation methods applied are portrayed in Danilov and Magnus (2008), including the Bayesian estimation, restricted and ...
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Three Parameter Laplace Type Bimodal Distribution
... estimation, Best linear unbiased estimation in estimating the parameters of the three parameter Laplace type bimodal distribution and specially by using Numerical Analysis techniques namely Newton ...
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Best Linear Unbiased Estimation Fusion with Constraints
... Data fusion is the collective name given to techniques that are used to combine the mea- surements from more than one sensor into a single quantity. The motivation behind using multiple sensors is often two-fold: either ...
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Initial evaluation of half sib progenies of Norway spruce using the best linear unbiased prediction
... the best linear unbiased estimator (βˆ ) of β and the best linear unbiased predictor (uˆ ) of ...are unbiased in the sense that the average value of the estimate ...
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Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
... In genomic prediction, the candidates to be predicted are often offspring that are genotyped but not yet pheno- typed. In this situation, LOOCV using all individuals in the training dataset will provide an upper bound ...
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On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope
... ABSTRACT Genomic evaluation models can fit additive and dominant SNP effects. Under quantitative genetics theory, additive or “breeding” values of individuals are generated by substitution effects, which involve both ...
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Empirical Best Linear Unbiased Prediction for Out of Sample Areas
... empirical best linear unbiased prediction (EBLUP), see Prasad and Rao (1990), Singh et ...to estimate its ...a linear mixed model with spatially correlated area random ...
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Host Genome Influence on Gut Microbial Composition and Microbial Prediction of Complex Traits in Pigs
... mixed linear models were applied to estimate the microbiota variance for each complex ...genomic best linear unbiased prediction (G-BLUP) and microbial best linear ...
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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
... In the context of some applications, such as growth curves, it is implausible for the mean func- tion to decrease. Therefore when fitting a function to such a dataset monotonicity must be considered. Early contributions ...
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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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Estimation of Inverse Rayleigh Distribution Parameters for Type II Singly and Doubly Censored Data Based on Lower Record Values
... “Best Linear Unbiased Estimator of the Parameter of the Rayleigh Distribution Part I: Small sample Theory for Censored Order Statistics”, IEEE Transactions on Reliability, ...
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Bayesian models applied to genomic selection for categorical traits
... Considering the results, we saw that BLMM had a similar error rate cross validation. However, it presented a predictive ability similar to BGLMM in both scenarios. Moreover, when GBLUP was used, the bias values in both ...
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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
... regression, (b) monotonic spline and (c) unconstrained spline fits. Each figure shows the fits of all 3 models with the 95% Bayesian credible interval for the constrained model shown in grey. DICs for the models are ...
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About an Unbiased Estimate of the Gradient with Minimum Variance in the Planning of the Experiment
... the numbers, “close” to τ(θ). This proximity can only be done in average. Therefore, the requirements to the quality of the estimates of the gradient, is formulated in probabilistic terms relating to the distribution of ...
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Small Area Estimation: A Review of Methods Based on the Application of Mixed Models
... In addition to EBLUP, empirical Bayes (EB) and hierarchical Bayes (HB) estimation and inference methods have been also applied to small area estimation. Under the EB approach, Bayes estimation and inferential approaches ...
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Short term effects of meteorological factors on pediatric hand, foot, and mouth disease in Guangdong, China: a multi city time series analysis
... In this study, we observed non-linear and delayed effects of daily average temperature, and relative humidity on HFMD cases, and such effects varied geographically. There is no doubt that temperature, especially ...
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