Microsoft Excel is a powerful spreadsheet application that can be used to create, analyze, present, and share data. Excel 2003 includes a new set of integrated XML tools, enhanced list functionality, and improved statistical functions. You can create customized solutions with Excel that integrate a broad array of technologies, including XML, Microsoft SharePoint Products and Technologies, smart tags, and PivotTables

References in zbMATH (referenced in 612 articles , 4 standard articles )

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  1. Ferrareso Lona, Liliane Maria: A step by step approach to the modeling of chemical engineering processes. Using Excel for simulation (to appear) (2018)
  2. Pagel, Christina; Ramnarayan, Padmanabhan; Ray, Samiran; Peters, Mark J.: Development and implementation of a real time statistical control method to identify the start and end of the winter surge in demand for paediatric intensive care (2018)
  3. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  4. Jauhari, Shaurya; Rizvi, S.A.M.: \itA priori, \itde novo mathematical exploration of gene expression mechanism via regression viewpoint with briefly cataloged modeling antiquity (2017)
  5. Koehler, Henning; Link, Sebastian: Inclusion dependencies and their interaction with functional dependencies in SQL (2017)
  6. Lasdon, Leon; Shirzadi, Shawn; Ziegel, Eric: Implementing CRM models for improved oil recovery in large oil fields (2017)
  7. Li, Weiyu; Patilea, Valentin: A new minimum contrast approach for inference in single-index models (2017)
  8. Peltier, Corey: “What If” analysis: benefits of utilizing a “What If” analysis in excel (2017)
  9. Rothwell, Alan: Optimization methods in structural design (2017)
  10. Segovia-Hernández, Juan Gabriel; Gómez-Castro, Fernando Israel: Stochastic process optimization using Aspen Plus (2017)
  11. Barton, Jeffrey T.: Models for life. An introduction to discrete mathematical modeling with Microsoft Office Excel (2016)
  12. Barton, Jeffrey T.: Solutions manual to accompany `Models for life. An introduction to discrete mathematical modeling with Microsoft Office Excel’ (2016)
  13. Benacka, Jan: Calculating ellipse area by the Monte Carlo method and analysing dice poker with excel at high school (2016)
  14. Brožová, Helena; Bartoška, Jan; Šubrt, Tomáš; Rydval, Jan: Task criticalness potential: a multiple criteria approach to project management. (2016)
  15. Casper, Michael: Digital support. Incorporating digital tools into learning stations (2016) MathEduc
  16. Friedman, Daniel; Sinervo, Barry: Evolutionary games in natural, social, and virtual worlds (2016)
  17. Haslwanter, Thomas: An introduction to statistics with Python. With applications in the life sciences (2016)
  18. Hayward, Charles N.; Kogan, Marina; Laursen, Sandra L.: Facilitating instructor adoption of inquiry-based learning in college mathematics (2016) MathEduc
  19. Hong, Jungsik; Koo, Hoonyoung; Kim, Taegu: Easy, reliable method for mid-term demand forecasting based on the Bass model: a hybrid approach of NLS and OLS (2016)
  20. Huang, Dongmei; Sun, Le; Shi, Shaohua; Su, Cheng; Zhao, Danfeng: Tabular-oriented data model and its query issues (2016) ioport

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