References in zbMATH (referenced in 26 articles , 1 standard article )

Showing results 1 to 20 of 26.
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  1. Meng, Jin; Chan, Kung-Sik: Penalized quasi-likelihood estimation of generalized Pareto regression -- consistent identification of risk factors for extreme losses (2022)
  2. Atikankul, Yupapin; Thongteeraparp, Ampai; Bodhisuwan, Winai; Qin, Jin; Boonto, Sudchai: The zero-truncated Poisson-weighted exponential distribution with applications (2021)
  3. Mota, Alex; Milani, Eder A.; Calsavara, Vinicius F.; Tomazella, Vera L. D.; Leão, Jeremias; Ramos, Pedro L.; Ferreira, Paulo H.; Louzada, Francisco: Weighted Lindley frailty model: estimation and application to lung cancer data (2021)
  4. Atikankul, Yupapin; Thongteeraparp, Ampai; Bodhisuwan, Winai; Volodin, A.: The length-biased weighted Lindley distribution with applications (2020)
  5. Koenker, Roger; Gu, Jiaying: Almost parametric smoothing (2020)
  6. Rainer Hirk, Kurt Hornik, Laura Vana: mvord: An R Package for Fitting Multivariate Ordinal Regression Models (2020) not zbMATH
  7. Xia, Wei; Doss, Hani: Scalable hyperparameter selection for latent Dirichlet allocation (2020)
  8. Hirk, Rainer; Hornik, Kurt; Vana, Laura: Multivariate ordinal regression models: an analysis of corporate credit ratings (2019)
  9. Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun: ExaGeoStatR: A Package for Large-Scale Geostatistics in R (2019) arXiv
  10. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  11. Boehm, Udo; Annis, Jeffrey; Frank, Michael J.; Hawkins, Guy E.; Heathcote, Andrew; Kellen, David; Krypotos, Angelos-Miltiadis; Lerche, Veronika; Logan, Gordon D.; Palmeri, Thomas J.; van Ravenzwaaij, Don; Servant, Mathieu; Singmann, Henrik; Starns, Jeffrey J.; Voss, Andreas; Wiecki, Thomas V.; Matzke, Dora; Wagenmakers, Eric-Jan: Estimating across-trial variability parameters of the diffusion decision model: expert advice and recommendations (2018)
  12. Snoke, Joshua; Brick, Timothy R.; Slavković, Aleksandra; Hunter, Michael D.: Providing accurate models across private partitioned data: secure maximum likelihood estimation (2018)
  13. Camilo Jose Torres-Jimenez, Alvaro Mauricio Montenegro Diaz: An alternative to continuous univariate distributions supported on a bounded interval: The BMT distribution (2017) arXiv
  14. Howard, James P. II: Computational methods for numerical analysis with R (2017)
  15. Prieto, Faustino; Sarabia, José María: A generalization of the power law distribution with nonlinear exponent (2017)
  16. Cordeiro, Gauss M.; Lima, Maria do Carmo S.; Gomes, Antonio E.; da-Silva, Cibele Q.; Ortega, Edwin M. M.: The gamma extended Weibull distribution (2016)
  17. Eric Ghysels and Virmantas Kvedaras and Vaidotas Zemlys: Mixed Frequency Data Sampling Regression Models: The R Package midasr (2016) not zbMATH
  18. Domma, Filippo; Popović, Božidar V.; Nadarajah, Saralees: An extension of Azzalini’s method (2015)
  19. Florent Baty; Christian Ritz; Sandrine Charles; Martin Brutsche; Jean-Pierre Flandrois; Marie-Laure Delignette-Muller: A Toolbox for Nonlinear Regression in R: The Package nlstools (2015) not zbMATH
  20. Roger Bivand; Gianfranco Piras: Comparing Implementations of Estimation Methods for Spatial Econometrics (2015) not zbMATH

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