Stata

Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics. Stata is not sold in modules, which means you get everything you need in one package. And, you can choose a perpetual license, with nothing more to buy ever. Annual licenses are also available.Stata 12 adds many new features such as structural equation modeling (SEM), contrasts, ARFIMA, business calendars, chained equations for multiple imputation, contour plots, automatic memory management, importing and exporting of Excel files, and more. http://www.stata-journal.com/archives/ (Source: http://mathres.kevius.com/software.html)


References in zbMATH (referenced in 308 articles , 1 standard article )

Showing results 1 to 20 of 308.
Sorted by year (citations)

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  1. Bacon, Philomena M.; Conte, Anna; Moffatt, Peter G.: A test of risk vulnerability in the wider population (2020)
  2. Balk, Bert M.; Barbero, Javier; Zofío, José L.: A toolbox for calculating and decomposing total factor productivity indices (2020)
  3. Hyunseung Kang, Yang Jiang, Qingyuan Zhao, Dylan S. Small: ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable (2020) arXiv
  4. Joss Roßmann, Tobias Gummer, Lars Kaczmirek: Working with User Agent Strings in Stata: The parseuas Command (2020) not zbMATH
  5. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  6. Ann-Kristin Kreutzmann; Sören Pannier; Natalia Rojas-Perilla; Timo Schmid; Matthias Templ; Nikos Tzavidis: The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators (2019) not zbMATH
  7. Araar, Abdelkrim (ed.); Verme, Paolo (ed.): Prices and welfare. An introduction to the measurement of well-being when prices change (2019)
  8. Cleff, Thomas: Applied statistics and multivariate data analysis for business and economics. A modern approach using SPSS, Stata, and Excel (2019)
  9. Daniel Sabanés Bové, Wai Yin Yeung, Giuseppe Palermo, Thomas Jaki: Model-Based Dose Escalation Designs in R with crmPack (2019) not zbMATH
  10. Das, Panchanan: Econometrics in theory and practice. Analysis of cross section, time series and panel data with Stata 15.1 (2019)
  11. Drton, Mathias; Fox, Christopher; Wang, Y. Samuel: Computation of maximum likelihood estimates in cyclic structural equation models (2019)
  12. Fuinhas, José Alberto (ed.); Marques, António Cardoso (ed.): The extended energy-growth nexus. Theory and empirical applications (2019)
  13. Gerhard Kurz; Igor Gilitschenski; Florian Pfaff; Lukas Drude; Uwe Hanebeck; Reinhold Haeb-Umbach; Roland Siegwart: Directional Statistics and Filtering Using libDirectional (2019) not zbMATH
  14. Kaufman, Robert L.: Interaction effects in linear and generalized linear models. Examples and applications using Stata (2019)
  15. Machado, José A. F.; Santos Silva, J. M. C.: Quantiles via moments (2019)
  16. Mihai Tivadar: OasisR: An R Package to Bring Some Order to the World of Segregation Measurement (2019) not zbMATH
  17. Rising Odegua: DataSist: A Python-based library for easy data analysis, visualization and modeling (2019) arXiv
  18. Sebastian Calonico; Matias Cattaneo; Max Farrell: nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference (2019) not zbMATH
  19. Sergio Venturini, Mehmet Mehmetoglu: plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares (2019) not zbMATH
  20. Shieh, Gwowen: Effect size, statistical power, and sample size for assessing interactions between categorical and continuous variables (2019)

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Further publications can be found at: http://www.stata-journal.com/archives/