R package StatMatch: Statistical Matching. Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.

References in zbMATH (referenced in 23 articles )

Showing results 1 to 20 of 23.
Sorted by year (citations)

1 2 next

  1. Ali, Mehboob; Kauermann, Göran: A split questionnaire survey design in the context of statistical matching (2021)
  2. DeYoreo, Maria; Reiter, Jerome P.: Bayesian mixture modeling for multivariate conditional distributions (2020)
  3. Giordani, Paolo; Ferraro, Maria Brigida; Martella, Francesca: An introduction to clustering with R (2020)
  4. Secchi, Piercesare: On the role of statistics in the era of big data: a call for a debate (2018)
  5. Conti, Pier Luigi; Marella, Daniela; Neri, Andrea: Statistical matching and uncertainty analysis in combining household income and expenditure data (2017)
  6. Di Zio, Marco; Vantaggi, Barbara: Partial identification in statistical matching with misclassification (2017)
  7. D’Orazio, Marcello; Di Zio, Marco; Scanu, Mauro: The use of uncertainty to choose matching variables in statistical matching (2017)
  8. D’Orazio, Marcello; Di Zio, Marco; Scanu, Mauro: The use of uncertainty to choose matching variables in statistical matching (2017)
  9. Ahfock, Daniel; Pyne, Saumyadipta; Lee, Sharon X.; McLachlan, Geoffrey J.: Partial identification in the statistical matching problem (2016)
  10. Chen, Aiyou; Owen, Art B.; Shi, Minghui: Data enriched linear regression (2015)
  11. Mark D. Risser, Catherine A. Calder: Local likelihood estimation for covariance functions with spatially-varying parameters: the convoSPAT package for R (2015) arXiv
  12. Sauppe, Jason J.; Jacobson, Sheldon H.; Sewell, Edward C.: Complexity and approximation results for the balance optimization subset selection model for causal inference in observational studies (2014)
  13. Conti, Pier Luigi; Marella, Daniela; Scanu, Mauro: Uncertainty analysis for statistical matching of ordered categorical variables (2013)
  14. Roesch, Andreas; Lips, Markus: Sampling design for two combined samples of the farm accountancy data network (FADN) (2013)
  15. Ruiz Espejo, Mariano; Delgado Pineda, Miguel; Nadarajah, Saralees: Optimal unbiased estimation of some population central moments (2013)
  16. Brozzi, Alessandro; Capotorti, Andrea; Vantaggi, Barbara: Incoherence correction strategies in statistical matching (2012)
  17. D’Ambrosio, Antonio; Aria, Massimo; Siciliano, Roberta: Accurate tree-based missing data imputation and data fusion within the statistical learning paradigm (2012)
  18. Fienberg, Stephen E.: Bayesian models and methods in public policy and government settings (2011)
  19. Conti, Pier Luigi; Marella, Daniela; Scanu, Mauro: Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators (2008)
  20. Marella, Daniela; Scanu, Mauro; Conti, Pier Luigi: On the matching noise of some nonparametric imputation procedures (2008)

1 2 next