Excel

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 547 articles , 4 standard articles )

Showing results 1 to 20 of 547.
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  1. Barton, Jeffrey T.: Models for life. An introduction to discrete mathematical modeling with Microsoft Office Excel (2016)
  2. Barton, Jeffrey T.: Solutions manual to accompany `Models for life. An introduction to discrete mathematical modeling with Microsoft Office Excel’ (2016)
  3. Benacka, Jan: Calculating ellipse area by the Monte Carlo method and analysing dice poker with excel at high school (2016)
  4. Casper, Michael: Digital support. Incorporating digital tools into learning stations (2016)
  5. Friedman, Daniel; Sinervo, Barry: Evolutionary games in natural, social, and virtual worlds (2016)
  6. Hayward, Charles N.; Kogan, Marina; Laursen, Sandra L.: Facilitating instructor adoption of inquiry-based learning in college mathematics (2016)
  7. 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)
  8. Huang, Dongmei; Sun, Le; Shi, Shaohua; Su, Cheng; Zhao, Danfeng: Tabular-oriented data model and its query issues (2016)
  9. Kimbrough, Steven Orla; Lau, Hoong Chuin: Business analytics for decision making (2016)
  10. Le, Chap T.; Eberly, Lynn E.: Introductory biostatistics (2016)
  11. Pfeifer, Phillip E.: The promise of pick-the-winners contests for producing crowd probability forecasts (2016)
  12. Singh, Rishabh; Gulwani, Sumit: Transforming spreadsheet data types using examples (2016)
  13. Vardeman, Stephen B.; Jobe, J. Marcus: Statistical methods for quality assurance. Basics, measurement, control, capability, and improvement (2016)
  14. Viswanathan, Rama; Liang, Sijia; Yang, Yang; Jungck, John R.: BioGrapher: visualization of graph theoretical patterns, measurements, and analysis in mathematical biology (2016)
  15. Andersen, John: Dynamic simulation of stochastic phenomena using MS Excel (2015)
  16. Backhaus, Klaus; Erichson, Bernd; Weiber, Rolf: Advanced multivariate analysis methods. An application oriented introduction (2015)
  17. Bruce, Peter C.: Introductory statistics and analytics. A resampling perspective (2015)
  18. Chan, Ngai Hang; Wong, Hoi Ying: Simulation techniques in financial risk management (2015)
  19. Conder, James A.: Fitting multiple Bell curves stably and accurately to a time series as applied to Hubbert cycles or other phenomena (2015)
  20. Cossette, Hélène; Marceau, Etienne; Perreault, Samuel: On two families of bivariate distributions with exponential marginals: aggregation and capital allocation (2015)

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