References in zbMATH (referenced in 138 articles , 1 standard article )

Showing results 41 to 60 of 138.
Sorted by year (citations)
  1. Mamouridis, Valeria; Klein, Nadja; Kneib, Thomas; Cadarso Suarez, Carmen; Maynou, Francesc: Structured additive distributional regression for analysing landings per unit effort in fisheries research (2017)
  2. Marra, Giampiero; Radice, Rosalba: Bivariate copula additive models for location, scale and shape (2017)
  3. Marra, Giampiero; Radice, Rosalba: A joint regression modeling framework for analyzing bivariate binary data in (\mathsfR) (2017)
  4. Mayr, Andreas; Hofner, Benjamin; Waldmann, Elisabeth; Hepp, Tobias; Meyer, Sebastian; Gefeller, Olaf: An update on statistical boosting in biomedicine (2017)
  5. Starunova, Olga A.; Rudnev, Sergey G.; Starodubov, Vladimir I.: HCViewer: software and technology for quality control and processing raw mass data of preventive screening (2017)
  6. Vanegas, Luis Hernando; Paula, Gilberto A.: Log-symmetric regression models under the presence of non-informative left- or right-censored observations (2017)
  7. Wood, Simon N.: Generalized additive models. An introduction with R. (2017)
  8. Wood, Simon N.; Fasiolo, Matteo: A generalized Fellner-Schall method for smoothing parameter optimization with application to Tweedie location, scale and shape models (2017)
  9. Zhao, Weihua; Lian, Heng; Song, Xinyuan: Composite quantile regression for correlated data (2017)
  10. Antoniadis, Anestis; Gijbels, Irène; Lambert-Lacroix, Sophie; Poggi, Jean-Michel: Joint estimation and variable selection for mean and dispersion in proper dispersion models (2016)
  11. Barreto-Souza, Wagner; Simas, Alexandre B.: General mixed Poisson regression models with varying dispersion (2016)
  12. Giampaoli, Viviana; Tamura, Karin A.; Caro, Norma P.; de Araujo, Luiz J. Simões: Prediction of a financial crisis in Latin American companies using the mixed logistic regression model (2016)
  13. Golembiovsky, D. Yu.; Denisov, D. V.; Petrovykh, A. S.: Modeling futures price dynamics on the RTS and MICEX indices (2016)
  14. Heinzl, Felix; Tutz, Gerhard: Additive mixed models with approximate Dirichlet process mixtures: the EM approach (2016)
  15. Hofner, Benjamin; Kneib, Thomas; Hothorn, Torsten: A unified framework of constrained regression (2016)
  16. Klein, Nadja; Kneib, Thomas: Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach (2016)
  17. Leiva, Víctor; Santos-Neto, Manoel; Cysneiros, Francisco José A.; Barros, Michelli: A methodology for stochastic inventory models based on a zero-adjusted Birnbaum-Saunders distribution (2016)
  18. Marra, Giampiero; Wyszynski, Karol: Semi-parametric copula sample selection models for count responses (2016)
  19. Maruotti, Antonello; Raponi, Valentina; Lagona, Francesco: Handling endogeneity and nonnegativity in correlated random effects models: evidence from ambulatory expenditure (2016)
  20. Ramires, Thiago G.; Ortega, Edwin M. M.; Cordeiro, Gauss M.; Hens, Niel: A bimodal flexible distribution for lifetime data (2016)