Since 1984, StatSoft has been developing the STATISTICA suite of analytics software products and solutions. STATISTICA provides the most comprehensive array of data analysis, data management, data visualization, and data mining solutions. Techniques include the widest selection of predictive modeling, clustering, classification, and exploratory techniques in one software platform. STATISTICA is a tried and true analytics platform with more than two decades of history in delivering successful business results for our customers, a global user base of more than 1 million users.

This software is also referenced in ORMS.

References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Lee, Wen-Chuan; Wu, Jong-Wuu; Hong, Ching-Wen; Hong, Shie-Fan: Evaluating the lifetime performance index based on the Bayesian estimation for the Rayleigh lifetime products with the upper record values (2013)
  2. Mozrzymas, Anna; Różycka-Roszak, Bożenna: Prediction of critical micelle concentration of cationic surfactants using connectivity indices (2011)
  3. Kherad-Pajouh, Sara; Renaud, Olivier: An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA (2010)
  4. Weiß, Christian H.: On new perspectives for statistical computing in business and industry -- a solution with STATISTICA and R (2010)
  5. Moldovan, Cristina D.; Costescu, Adina; Katona, Gabriel; Diudea, Mircea V.: Application to QSAR studies of 2-furylethylene derivatives (2009)
  6. Marrero-Ponce, Yovani; Castillo-Garit, Juan Alberto; Castro, Eduardo A.; Torrens, Francisco; Rotondo, Richard: 3D-chiral (2.5) atom-based TOMOCOMD-CARDD descriptors: theory and QSAR applications to central chirality codification (2008)
  7. Marques de Sá, Joaquim P.: Applied statistics. Using SPSS, STATISTICA, MATLAB and R. With CD-ROM. (2007)
  8. Cruz-Monteagudo, Maykel; González-Díaz, Humberto; Borges, Fernanda; González-Díaz, Yenny: Simple stochastic fingerprints towards mathematical modeling in biology and medicine. III: Ocular irritability classification model (2006)
  9. Pérez González, Maykel; Caballero, Julio; Morales Helguera, Aliuska; Garriga, Miguel; González, Gerardo; Fernández, Michael: 2D autocorrelation modelling of the inhibitory activity of cytokinin-derived cyclin-dependent kinase inhibitors (2006)
  10. Afifi, Abdelmonem; Clark, Virginia A.; May, Susanne: Computer-aided multivariate analysis. (2004)
  11. Kiełtyka, Leszek; Kucȩba, Robert; Sokołowski, Adam: Application of neural network topologies in the intelligent heat use prediction system (2004)
  12. Marques de Sá, J.P.: Applied statistics using SPSS, STATISTICA and MATLAB. (With CD-ROM) (2003)
  13. Dzemyda, Gintautas: Visualization of a set of parameters characterized by their correlation matrix. (2001)
  14. Funtova, V.; Malyshev, L.: Differentiation of populations of Agrostis tenuis Sibth. and Dactylis glomerata L. in the flood meadow habitats of the Luga river (2001)
  15. Vadzinskij, R.N.: Handbook of probability distributions. (2001)
  16. Afifi, A.A.; Clark, V.: Computer-aided multivariate analysis. (1996)

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