Results 31 to 40 of about 96,795 (287)

EBLUP-SMALL AREA ESTIMATION METHOD FOR PER CAPITA EXPENDITURES IN BALI

open access: yesE-Jurnal Matematika, 2022
Small Area Estimation (SAE) is a statistical technique for estimating the parameters of a sub-population with a small sample size. SAE aims to improve the accuracy of parameter estimation, with indirect estimation.
LUTHFATUL AMALIANA   +1 more
doaj   +1 more source

Partial Least Squares Enhances Genomic Prediction of New Environments

open access: yesFrontiers in Genetics, 2022
In plant breeding, the need to improve the prediction of future seasons or new locations and/or environments, also denoted as “leave one environment out,” is of paramount importance to increase the genetic gain in breeding programs and contribute to food
Osval A. Montesinos-López   +8 more
doaj   +1 more source

Manfaat Penaksiran Parameter Dengan Metode EBLUP Pada Model Fay-Herriot Untuk Penelitian Konseling

open access: yesPsikopedagogia: 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

Genomic Prediction of Grain Yield in a Barley MAGIC Population Modeling Genotype per Environment Interaction

open access: yesFrontiers in Plant Science, 2021
Multi-parent Advanced Generation Inter-crosses (MAGIC) lines have mosaic genomes that are generated shuffling the genetic material of the founder parents following pre-defined crossing schemes.
Damiano Puglisi   +11 more
doaj   +1 more source

Spatial EBLUP dalam Pendugaan Area Kecil

open access: yesSainsmat, 2018
Empirical Best Linear Unbiased Prediction (EBLUP) merupakan salah satu metode dalam pendugaan area kecil. Asumsi yang digunakan dalam EBLUP adalah bahwa pengaruh acak galat area saling bebas.
Muhammad Nusrang   +4 more
doaj   +1 more source

SIMULATION STUDY OF HIERARCHICAL BAYESIAN APPROACH FOR SMALL AREA ESTIMATION WITH MEASUREMENT ERROR

open access: yesBarekeng, 2023
In small area estimation (SAE), the auxiliary variables used are commonly derived from registration data such as census and administrative data. It is assumed that the auxiliary variables are available for all areas. The limited availability of auxiliary
Leli Latifah   +2 more
doaj   +1 more source

A Spatial Unit Level Model for Small Area Estimation

open access: yesRevstat Statistical Journal, 2011
This paper approaches the problem of small area estimation in the framework of spatially correlated data. We propose a class of estimators allowing the integration of sample information of a spatial nature.
Pedro S. Coelho , Luís N. Pereira
doaj   +1 more source

Retrieval of among-stand variances from one observation per stand

open access: yesJournal of Forest Science, 2020
Forest inventories provide predictions of stand means on a routine basis from models with auxiliary variables from remote sensing as predictors and response variables from field data.
Steen Magnussen, Johannes Breidenbach
doaj   +1 more source

Small Area Estimation Using a Spatio-Temporal Linear Mixed Model

open access: yesRevstat Statistical Journal, 2012
In this paper it is proposed a spatio-temporal area level linear mixed model involving spatially correlated and temporally autocorrelated random effects.
Luís N. Pereira , Pedro S. Coelho
doaj   +1 more source

Genomic selection of soybean (Glycine max) for genetic improvement of yield and seed composition in a breeding context

open access: yesThe Plant Genome, 2023
Genomic selection has been utilized for genetic improvement in both plant and animal breeding and is a favorable technique for quantitative trait development.
Mark J. Miller, Qijian Song, Zenglu Li
doaj   +1 more source

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