References in zbMATH (referenced in 1507 articles , 2 standard articles )

Showing results 1 to 20 of 1507.
Sorted by year (citations)

1 2 3 ... 74 75 76 next

  1. Andreas Hill, Alexander Massey, Daniel Mandallaz: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories (2021) not zbMATH
  2. Gan, Guojun; Ma, Chaoqun; Wu, Jianhong: Data clustering. Theory, algorithms, and applications (2021)
  3. Gibbons, Jean Dickinson; Chakraborti, Subhabrata: Nonparametric statistical inference (2021)
  4. Kolosova, Tanya; Berestizhevsky, Samuel: Supervised machine learning. Optimization framework and applications with SAS and R (2021)
  5. Linda Nab, Maarten van Smeden, Ruth H. Keogh, Rolf H.H. Groenwold: mecor: An R package for measurement error correction in linear regression models with a continuous outcome (2021) arXiv
  6. Baena-Mirabete, S.; Espinal, Anna; Puig, Pedro: Exploring the randomness of mentally generated head-tail sequences (2020)
  7. Bailer, A. John: Statistical programming in SAS (2020)
  8. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  9. Duarte, Belmiro P. M.; Granjo, José F. O.; Wong, Weng Kee: Optimal exact designs of experiments via mixed integer nonlinear programming (2020)
  10. Evangelos Kontopantelis; David Reeves: Pairwise meta-analysis of aggregate data using metaan in Stata (2020) not zbMATH
  11. Flórez, Alvaro Jóse; Alonso Abad, Ariel; Molenberghs, Geert; Van Der Elst, Wim: Generating random correlation matrices with fixed values: an application to the evaluation of multivariate surrogate endpoints (2020)
  12. Gianluca Baio: survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling (2020) not zbMATH
  13. Griffin, Joshua; Omheni, Riadh: A primal-dual modified log-barrier method for inequality constrained nonlinear optimization (2020)
  14. Jan Górecki, Marius Hofert, Martin Holeňa: Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox (2020) not zbMATH
  15. Jiachen Chen, Xin Zhou, Fan Li, Donna Spiegelman: swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials (2020) arXiv
  16. Jordan H Creed; Travis A Gerke; Anders E Berglund: MatSurv: Survival analysis and visualization in MATLAB (2020) not zbMATH
  17. Liu, Timina; Liu, Shuangzhe; Shi, Lei: Time series analysis using SAS enterprise guide (2020)
  18. Lyles, Robert H.; Weiss, Paul; Waller, Lance A.: Calibrated Bayesian credible intervals for binomial proportions (2020)
  19. Martin Happ, Georg Zimmermann, Edgar Brunner, Arne C. Bathke: Pseudo-Ranks: How to Calculate Them Efficiently in R (2020) not zbMATH
  20. Matthias Speidel, Jörg Drechsler, Shahab Jolani: The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond (2020) not zbMATH

1 2 3 ... 74 75 76 next


Further publications can be found at: http://support.sas.com/resources/papers/index.html