Results 51 to 60 of about 179,787 (326)
Adding gene transcripts into genomic prediction improves accuracy and reveals sampling time dependence. [PDF]
, 2022 Recent developments allowed generating multiple high-quality \u27omics\u27 data that could increase the predictive performance of genomic prediction for phenotypes and genetic merit in animals and plants.
Bink, Marco C A M +4 more
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Estimation and prediction based on k-record values from normal distribution
Statistica, 2014 In this paper, we introduce the k-record values arising from normal distribution. After computing the means, variances and covariances of the k-record values, we determine the best linear unbiased estimators for the location and scale parameters of ...
Manoj Chacko, M. Shy Mary
doaj +1 more source
Manfaat Penaksiran Parameter Dengan Metode EBLUP Pada Model Fay-Herriot Untuk Penelitian Konseling
Psikopedagogia: Jurnal Bimbingan dan Konseling, 2012 Model Fay-Herriot merupakan salah satu kasus khusus dari model area level pada small area estimation (SAE). Penaksiran parameter pada model Fay-Herriot dapat dilakukan dengan beberapa metode, diantaranya metode Best Linear Unbiased Prediction (BLUP) dan ...
Luthfatul Amaliana
doaj +1 more source
NEAREST NEIGHBOR ADJUSTED BEST LINEAR UNBIASED PREDICTION IN FIELD EXPERIMENTS [PDF]
Conference on Applied Statistics in Agriculture, 1990 In field experiments with large numbers of treatments, inference can be affected by 1) local variation, and 2) method of analysis . The standard approach to local, or spatial, variation in the design of experiments is blocking.
Stroup, Walter W.
openaire +4 more sources
Simultaneous prediction in the generalized linear model
Open Mathematics, 2018 This paper studies the prediction based on a composite target function that allows to simultaneously predict the actual and the mean values of the unobserved regressand in the generalized linear model.
Bai Chao, Li Haiqi
doaj +1 more source
Genetics Selection Evolution, 2001 The inverse of the gametic covariance matrix between relatives, G-1, for a marked quantitative trait locus (QTL) is required in best linear unbiased prediction (BLUP) of breeding values if marker data are available on a QTL.
Freeman Albert E, Abdel-Azim Gamal
doaj +1 more source
Frontiers in Genetics, 2020 Genomic prediction is an effective way to estimate the genomic breeding values from genetic information based on statistical methods such as best linear unbiased prediction (BLUP). The used of haplotype, clusters of linked single nucleotide polymorphism (
Sohyoung Won +10 more
doaj +1 more source
Accounting for genetic architecture improves sequence based genomic prediction for a Drosophila fitness trait. [PDF]
PLoS ONE, 2015 The ability to predict quantitative trait phenotypes from molecular polymorphism data will revolutionize evolutionary biology, medicine and human biology, and animal and plant breeding.
Ulrike Ober +5 more
doaj +1 more source
, 2008 Empirical best linear unbiased prediction (EBLUP) method uses a linear mixed model in combining information from different sources of information. This method is particularly useful in small area problems.
Chatterjee, Snigdhansu +2 more
core +3 more sources
Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction. [PDF]
, 2017 Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Xu, Shizhong
core +2 more sources