Results 91 to 100 of about 12,429,123 (337)
Preface to the Papers on ‘Small Area Estimation’ [PDF]
Journal of the Royal Statistical Society Series A: Statistics in Society, 2017 Tzavidis, Nikolaos +3 more
openaire +2 more sources
Small area estimation under spatial nonstationarity
Computational Statistics & Data Analysis, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hukum Chandra +3 more
openaire +6 more sources
Molecular Oncology, EarlyView.High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira +7 more
wiley +1 more source
The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators
Journal of Statistical Software, 2019 The R package emdi enables the estimation of regionally disaggregated indicators using small area estimation methods and includes tools for processing, assessing, and presenting the results.
Ann-Kristin Kreutzmann +5 more
doaj +1 more source
On asymmetry of prediction errors in small area estimation [PDF]
Statistics in Transition new series, 2017 The mean squared error reflects only the average prediction accuracy while the distribution of squared prediction error is positively skewed. Hence, assessing or comparing accuracy based on the MSE (which is the mean of squared errors) is insufficient and even inadequate because we should be interested not only in the average but in the whole ...
openaire +2 more sources
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
, 2007 Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate SAE based on linear models with spatially correlated small area effects where the neighbourhood structure is described by a contiguity matrix. Such models
Chandra, Hukum +2 more
core +1 more source
On Bootstrap Algorithms in Survey Sampling
Zeszyty Naukowe Uniwersytetu Ekonomicznego w KrakowieObjective: The aim of this paper is to present bootstrap algorithms for measuring the accuracy of estimation and prediction in design-based and model-based approaches in survey sampling and small area estimation.
Tomasz Żądło
doaj +1 more source
Progress toward eliminating TB and HIV deaths in Brazil, 2001–2015: a spatial assessment
BMC Medicine, 2018 Background Brazil has high burdens of tuberculosis (TB) and HIV, as previously estimated for the 26 states and the Federal District, as well as high levels of inequality in social and health indicators.
Jennifer M. Ross +15 more
doaj +1 more source
Improving small area estimation by combining surveys: new perspectives in regional statistics [PDF]
A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province.
Alex Costa, Eva Ventura, Albert Satorra
core