Results 21 to 30 of about 2,366,764 (294)
Subsampling MCMC - An introduction for the survey statistician [PDF]
, 2018 The rapid development of computing power and efficient Markov Chain Monte Carlo (MCMC) simulation algorithms have revolutionized Bayesian statistics, making it a highly practical inference method in applied work.
Dang, Khue-Dung +4 more
core +1 more source
Propensity Score Weighting for Causal Inference with Clustered Data
Journal of Causal Inference, 2018 Propensity score weighting is a tool for causal inference to adjust for measured confounders in observational studies. In practice, data often present complex structures, such as clustering, which make propensity score modeling and estimation challenging.
Yang Shu
doaj +1 more source
Interactive Linear Models in Survey Sampling [PDF]
Journal of Statistical Theory and Applications (JSTA), 2014 Considered is a linear ‘interactive’ model in the context of survey sampling. This situation arises when investigator and/or supervisor interventions are contemplated in the responses.
Bikas K. Sinha, Pulakes Maiti
doaj +1 more source
Resampling methods in survey sampling
Lietuvos Matematikos Rinkinys, 2000 Aim of this paper is to estimate variances of the estimates of the population totals using resampling methods and to compare them with the known variances of the estimates.
Danutė Krapavickaitė +1 more
doaj +3 more sources
Application of Randomized Response Techniques Using Dichotomous Response for Mean Wage in Czechia and Slovakia [PDF]
Statistika: Statistics and Economy JournalResearch of controversial topics (drug consumption, corruption) requires reliable estimates of population means of sensitive variables (spending on drugs, illegal sources of income). To avoid non-response and fabricated responses surveys using randomized
Ondřej Vozár, Luboš Marek
doaj +1 more source
Robust Särndal-Type Mean Estimators with Re-Descending Coefficients
AxiomsWhen extreme values or outliers occur in asymmetric datasets, conventional mean estimation methods suffer from low accuracy and reliability. This study introduces a novel class of robust Särndal-type mean estimators utilizing re-descending M-estimator ...
Khudhayr A. Rashedi +7 more
doaj +1 more source
Sampling Strategy for Space Mean Speed Survey [PDF]
, 2012 In most traffic projects, speed survey is required. If the speed survey uses detector, all data might be obtained. Otherwise a sampling strategy needs to be introduced.
Putranto, L. S. (Leksmono) +2 more
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Anchorage Community Survey 2007 Survey Sampling Design: Power and Sample Size [PDF]
, 2006 This working paper documents the power analysis, literature review, and precision considerations contemplated in designing the Anchorage Community Survey’s (ACS) 2007 sampling design.
Evans, Shel Llee
core +1 more source
Internet mobility survey sampling biases in measuring frequency of use of transport modes [PDF]
, 2012 We develop a quantitative analysis of the biases that arise when measuring trip frequencies for a general population through an online survey instrument.
Diana, Marco
core +1 more source