Results 61 to 70 of about 96,795 (287)

On Empirical Best Linear Unbiased Predictor under s Linear Mixed Model with Correlated Random Effects

Ekonometria, 2020
The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects.
Małgorzata K. Krzciuk
doaj  

Simple House Needs in Jember with Robust Small Area Estimation

Jurnal Ilmu Dasar, 2017
SAE (Small Area Estimation) is often used by researchers, especially statisticians to estimate parameters of a subpopulation which has a small sample size.
Frida Murtinasari, Alfian Futuhul Hadi, Dian Anggraeni   +2 more
doaj   +1 more source

Single‐Cell Mitochondrial Lineage Tracing Decodes Fate Decision and Spatial Clonal Architecture in Human Hematopoietic Organoids

Advanced Science, EarlyView.
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue, Junhao Su, Yiming Chao, Lu Liu, Xinyi Lin, Yang Xiang, Mun Kay Ho, Zezhuo Su, Junyi Chen, Zhuojuan Luo, Chengqi Lin, Ruibang Luo, Theo Aurich, Jianfeng Wu, Kelvin Sin Chi Cheung, Yuanhua Huang, Joshua W. K. Ho, Ryohichi Sugimura   +17 more
wiley   +1 more source

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

, 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, Pratesi, Monica, Salvati, Nicola   +2 more
core   +5 more sources

Small Area Estimation to Estimate the Percentage of Simple Housing Needs in Buleleng Regency

Jurnal Matematika
Data is a source of information to support the decision-making process of the object under study so that the availability of data is important to fulfill. Survey as one of the techniques used to provide data has weaknesses such as area parameters outside
Luh Devi Maharani Mecker, I Komang Gde Sukarsa, I Wayan Sumarjaya   +2 more
doaj   +1 more source

PENDUGAAN ANGKA PUTUS SEKOLAH DI KABUPATEN SEMARANG DENGAN METODE PREDIKSI TAK BIAS LINIER TERBAIK EMPIRIK PADA MODEL PENDUGAAN AREA KECIL [PDF]

, 2013
Nowadays, small area information that has a small sample size is needed. A direct estimation in the small area will produce a large variance of values. In order of that, another alternative is needed that can be used is the indirect estimation.
MALIK, NANDANG FAHMI JALALUDIN
core  

AI‐Based D‐Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug‐Resistant Bacterial Infection

Advanced Science, EarlyView.
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao, Qingzhou Kong, Haifan Gong, Lixiang Li, Jialu Fu, Boyao Wan, Peizhu Wang, Xiaojuan Li, Yue Wang, Jinghui Zhang, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +14 more
wiley   +1 more source

Bootstrapping of gene-expression data improves and controls the false discovery rate of differentially expressed genes

Genetics Selection Evolution, 2004
The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction were compared for their false discovery rates (FDR), i.e.
Goddard Mike E, Meuwissen Theo HE
doaj   +1 more source

Using residual regressions to quantify and map signal leakage in genomic prediction

Genetics Selection Evolution, 2023
Background Most genomic prediction applications in animal breeding use genotypes with tens of thousands of single nucleotide polymorphisms (SNPs). However, modern sequencing technologies and imputation algorithms can generate ultra-high-density genotypes
Bruno D. Valente, Gustavo de los Campos, Alexander Grueneberg, Ching-Yi Chen, Roger Ros-Freixedes, William O. Herring   +5 more
doaj   +1 more source

Cheaper and Better: Selecting Good Workers for Crowdsourcing

, 2015
Crowdsourcing provides a popular paradigm for data collection at scale. We study the problem of selecting subsets of workers from a given worker pool to maximize the accuracy under a budget constraint.
Li, Hongwei, Liu, Qiang
core   +2 more sources