Results 11 to 20 of about 184,299 (283)
Media Statistika, 2021 Small Area Estimation (SAE) is one of the statistical methods that used to estimate parameters of model from small subpopulations. Because of that, additional information is needed to predict these parameters that will result a more accurate predictive ...
Ferra Yanuar +2 more
doaj +1 more source
Safety Surveillance of Pneumococcal Vaccine Using Three Algorithms: Disproportionality Methods, Empirical Bayes Geometric Mean, and Tree-Based Scan Statistic. [PDF]
Vaccines (Basel), 2020 Lee H, Kim JH, Choe YJ, Shin JY.
europepmc +3 more sources
Axioms, 2023 This study addresses the issue of estimating the shape parameter of the inverted exponentiated Rayleigh distribution, along with the assessment of reliability and failure rate, by utilizing Type-I progressive hybrid censored data.
Atef F. Hashem +2 more
doaj +1 more source
Oscillatory Biomedical Signals: Frontiers in Mathematical Models and Statistical Analysis
Frontiers in Applied Mathematics and Statistics, 2021 Herein we describe new frontiers in mathematical modeling and statistical analysis of oscillatory biomedical signals, motivated by our recent studies of network formation in the human brain during the early stages of life and studies forty years ago on ...
Hau-Tieng Wu +3 more
doaj +1 more source
Assessing differential expression in two-color microarrays: a resampling-based empirical Bayes approach. [PDF]
PLoS ONE, 2013 Microarrays are widely used for examining differential gene expression, identifying single nucleotide polymorphisms, and detecting methylation loci. Multiple testing methods in microarray data analysis aim at controlling both Type I and Type II error ...
Dongmei Li +4 more
doaj +1 more source
E-Jurnal Matematika, 2013 Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates.
PUTU EKA ARIWIJAYANTHI +2 more
doaj +1 more source
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem [PDF]
, 2010 This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity correction happens automatically in Bayesian analysis, and to distinguish ...
Berger, James O., Scott, James G.
core +2 more sources
BMC Bioinformatics, 2017 Background Correlation matrices are important in inferring relationships and networks between regulatory or signalling elements in biological systems.
Clare Pacini +2 more
doaj +1 more source
Barekeng, 2021 Kebijakan pengentasan kemiskinan pada pemerintahan presiden Ir. H. Joko Widodo dilakukan melalui empat strategi kunci yang salah satunya adalah pemberdayaan kelompok masyarakat miskin.
I Komang Gde Sukarsa, I. G. K Gandhiadi
doaj +1 more source
Estimating rate of occurrence of rare events with empirical Bayes : a railway application [PDF]
, 2007 Classical approaches to estimating the rate of occurrence of events perform poorly when data are few. Maximum likelihood estimators result in overly optimistic point estimates of zero for situations where there have been no events.
Bedford, Tim +2 more
core +1 more source