References in zbMATH (referenced in 31 articles )

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  1. Faria, Alexandre Frias; de Souza, Sérgio Ricardo; Martins de Sá, Elisangela: A mixed-integer linear programming model to solve the multidimensional multi-way number partitioning problem (2021)
  2. Marques Rodrigues, Maria Cecília; Sousa Oliveira, Carlos: Considering spatial memory to estimate seismic risk: the case of the Azores Archipelago (2020)
  3. Ahmed, Ashik; Galib, Md. Mehedi Hassan; Zaman, Shafi Md. Kawsar; Sarowar, Golam: An optimization methodology of susceptance variation using lead-lag controller for grid connected FSIG based wind generator system (2018)
  4. Faraway, Julian J.: Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. (2016)
  5. Gschrey, Bernhard; Ünlü, Ali: Book review of: T. Raykov and G. A. Marcoulides, Introduction to psychometric theory (2014)
  6. Gerrard, Paul: Book review of: J. Maindonald and W. J. Braun, Data analysis and graphics using R: an example based approach. 3rd ed. (2013)
  7. Beyersmann, Jan; Allignol, Arthur; Schumacher, Martin: Competing risks and multistate models with R (2012)
  8. Rizopoulos, Dimitris: Joint models for longitudinal and time-to-event data. With applications in R (2012)
  9. Everitt, Brian; Hothorn, Torsten: An introduction to applied multivariate analysis with R. (2011)
  10. Kauermann, Göran; Küchenhoff, Helmut: Samples. Methods and practical application with R (2011)
  11. Williams, Graham: Data Mining with Rattle and R. The art of excavating data for knowledge discovery. (2011)
  12. Christensen, Ronald; Johnson, Wesley Orin; Branscum, Adam; Hanson, Timothy E.: Bayesian ideas and data analysis. An introduction for scientists and statisticians. (2010)
  13. Hutter, Frank; Bartz-Beielstein, Thomas; Hoos, Holger H.; Leyton-Brown, Kevin; Murphy, Kevin P.: Sequential model-based parameter optimization: an experimental investigation of automated and interactive approaches (2010)
  14. Uusipaikka, Esa: Confidence intervals in generalized regression models. With CD-ROM (2009)
  15. Velten, Kai: Mathematical modeling and simulation. Introduction for scientists and engineers (2009)
  16. Antoch, Jaromír: Environment for statistical computing (2008) ioport
  17. Berk, Richard A.: Statistical learning from a regression perspective (2008)
  18. Chambers, John M.: Software for data analysis. Programming with R (2008)
  19. Dalgaard, Peter: Introductory statistics with R (2008)
  20. Iacus, Stefano M.: Simulation and inference for stochastic differential equations. With R examples. (2008)

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