Results 21 to 30 of about 468,748 (305)
The potential of statistical matching for the analysis of wider benefits of learning in later life
European Journal for Research on the Education and Learning of Adults, 2019 It is challenging to investigate wider benefits of adult learning, especially in later life, due to limited data on educational activities and non-monetary returns in large, longitudinal surveys.
Madlain Hoffmann +6 more
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3-D FEATURE-BASED MATCHING BY RSTG APPROACH [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 3-D feature matching is the essential kernel in a fully automated feature-based LiDAR point cloud registration. After feasible procedures of feature acquisition, connecting corresponding features in different data frames is imperative to be solved.
J.-J. Jaw, T.-Y. Chuang
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Remote Sensing, 2021 In this study, we improve the matching accuracy of underwater gravity matching navigation. Firstly, the Iterative Optimal Annulus Point (IOAP) method with a novel grid topology is proposed for breaking through the inherent grid structure limit of the ...
Shijie Zhao +4 more
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BMC Medical Research Methodology, 2021 Background Propensity score matching is a statistical method that is often used to make inferences on the treatment effects in observational studies. In recent years, there has been widespread use of the technique in the cardiothoracic surgery literature
Daniele Bottigliengo +10 more
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Integration and imputation of survey data in R: the StatMatch package [PDF]
Revista Română de Statistică, 2015 Statistical matching methods permit to integrate two or more data sources with the purpose of investigating the relationship between variables not jointly observed.
Marcello D’Orazio
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The Use of Uncertainty to Choose Matching Variables in Statistical Matching
International Journal of Approximate Reasoning, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcello D'Orazio +2 more
openaire +2 more sources
Statistical Micro Matching Using Bayesian Networks
, 2021 The goal of statistical matching, at a micro level, is the construction of a synthetic data source where all the variables of interest are available.
Vincenzina Vitale +3 more
core +1 more source
PLoS ONE, 2021 Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial.
David Guijo-Rubio +5 more
doaj +1 more source
Conservation Letters, 2019 Compensation policies seek to counterbalance biodiversity losses caused by development; however, their effectiveness is rarely tested. We examined U.S. Species Conservation Banks (SCBs) in California, a compensation program initiated 30 years ago.
Laura J. Sonter +3 more
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Some Practical Issues Related to the Integration of Data from Sample Surveys [PDF]
Statistika: Statistics and Economy Journal, 2015 The users of official statistics data expect multivariate estimates at a low level of aggregation. However, due to financial restrictions it is impossible to carry out studies on a sample large enough to meet the demand for low-level aggregation of ...
Wojciech Roszka
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