Results 31 to 40 of about 10,032,701 (265)

Multi-trait genome prediction of new environments with partial least squares

open access: yesFrontiers in Genetics, 2022
The genomic selection (GS) methodology proposed over 20 years ago by Meuwissen et al. (Genetics, 2001) has revolutionized plant breeding. A predictive methodology that trains statistical machine learning algorithms with phenotypic and genotypic data of a
Osval A. Montesinos-López   +6 more
doaj   +1 more source

PENERAPAN METODE EMPIRICAL BEST LINEAR UNBIASED PREDICTION (EBLUP) PADA MODEL PENDUGAAN AREA KECIL (STUDI KASUS : ANALISIS TINGKAT KEMISKINAN DI KABUPATEN BANTUL DI TAHUN 2020) [PDF]

open access: yes, 2022
Empirical Best Linear Unbiased Prediction (EBLUP) is a technique for completing the Mean Square Error (MSE) mixed effect model that is generated assuming a known component of the variance.
Annisa Agustin Pramesti Surya, NIM.: 18106010001
core   +1 more source

Mean squared errors of small area estimators under a unit-level multivariate model [PDF]

open access: yes, 2005
This work deals with estimating the vector of means of characteristics of small areas. In this context, a unit level multivariate model with correlated sampling errors is considered.
Baíllo, Amparo, Molina, Isabel
core   +1 more source

Reliability of genomic predictions of complex human phenotypes

open access: yesBMC Proceedings, 2018
Genome-wide association studies have helped us identify a wealth of genetic variants associated with complex human phenotypes. Because most variants explain a small portion of the total phenotypic variation, however, marker-based studies remain limited ...
Arthur Porto   +3 more
doaj   +1 more source

Empirical best linear unbiased prediction method for small areas with restricted maximum likelihood and bootstrap procedure to estimate the average of household expenditure per capita in Banjar Regency [PDF]

open access: yesAIP Conference Proceedings, 2017
So far, most of the data published by Statistics Indonesia (BPS) as data providers for national statistics are still limited to the district level. Less sufficient sample size for smaller area levels to make the measurement of poverty indicators with direct estimation produced high standard error. Therefore, the analysis based on it is unreliable.
Agustin Siti Aminah   +2 more
openaire   +1 more source

Implementasi Empirical Best Linear Unbiased Prediction Fay-Herriot dalam Menduga Rata-Rata Pengeluaran per Kapita Level Kecamatan di Provinsi Jawa Timur dengan Tambahan Informasi Cluster

open access: yesSeminar Nasional Official Statistics, 2021
Salah satu indikator ekonomi yang dapat mengukur tingkat kesejahteraan adalah kemiskinan. Penduduk tergolong miskin apabila rata-rata pengeluaran per kapita setiap bulannya dibawah garis kemiskinan. Provinsi Jawa Timur terpilih sebagai lokus penelitian dikarenakan memiliki jumlah penduduk miskin tertinggi di Indonesia selama satu dekade terakhir.
Ika Yuni Wulansari   +1 more
openaire   +2 more sources

Association between systolic blood pressure course and outcomes after stroke thrombectomy

open access: yesBMJ Neurology Open, 2021
Background Systolic blood pressure (SBP) after endovascular thrombectomy (EVT) for large artery occlusive stroke is dynamic, requiring adaptable early prediction tools for improving outcomes.
Matteo Bottai   +4 more
doaj   +1 more source

A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data

open access: yesG3: Genes, Genomes, Genetics, 2019
In this paper we propose a Bayesian multi-output regressor stacking (BMORS) model that is a generalization of the multi-trait regressor stacking method. The proposed BMORS model consists of two stages: in the first stage, a univariate genomic best linear
Osval A. Montesinos-López   +8 more
doaj   +1 more source

Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]

open access: yes, 2007
This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared ...
MOLINA ISABEL   +6 more
core   +1 more source

Genome-Wide Prediction of the Performance of Three-Way Hybrids in Barley

open access: yesThe Plant Genome, 2017
Predicting the grain yield performance of three-way hybrids is challenging. Three-way crosses are relevant for hybrid breeding in barley ( L.) and maize ( L.) adapted to East Africa.
Zuo Li   +5 more
doaj   +1 more source

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