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 737 articles , 4 standard articles )

Showing results 1 to 20 of 737.
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  1. Dickson, David C. M.; Hardy, Mary R.; Waters, Howard R.: Actuarial mathematics for life contingent risks (2020)
  2. Fok, Alex; Chew, Hooi Pin: Mathematical models for dental materials research (2020)
  3. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  4. Quirk, Thomas J.: Excel 2019 for engineering statistics. A guide to solving practical problems (2020)
  5. 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
  6. Cleff, Thomas: Applied statistics and multivariate data analysis for business and economics. A modern approach using SPSS, Stata, and Excel (2019)
  7. John, Boby; Kadadevaramath, Rajeshwar S.: Optimization of software development life cycle process to minimize the delivered defect density (2019)
  8. Junghenn, Hugo D.: An introduction to financial mathematics. Option valuation (2019)
  9. Nguyen, Hien; Yee, Yohan; McLachlan, Geoffrey; Lerch, Jason: False discovery rate control for grouped or discretely supported (p)-values with application to a neuroimaging study (2019)
  10. Nikolopoulos, Kostas I.; Thomakos, Dimitrios D.: Forecasting with the theta method. Theory and applications (2019)
  11. Radojčić, Dejan; Kalajdžić, Milan; Simić, Aleksandar: Power prediction modeling of conventional high-speed craft (2019)
  12. Strub, O.; Trautmann, N.: A two-stage approach to the UCITS-constrained index-tracking problem (2019)
  13. van den Driessche, P.; Yakubu, Abdul-Aziz: Disease extinction versus persistence in discrete-time epidemic models (2019)
  14. Vinay Yadav, Subhankar Karmakar, Pradip P. Kalbar, A.K. Dikshit: PyTOPS: A Python based tool for TOPSIS (2019) not zbMATH
  15. Weigand, Christoph: Statistics with and without randomness. An application oriented introduction (2019)
  16. Wild, T.B., Loucks, D.P., Annandale, G.W.: SedSim: A River Basin Simulation Screening Model for Reservoir Management of Sediment, Water, and Hydropower (2019) not zbMATH
  17. Zhang, Qi; Wang, Kai-Ping; Li, De-Li; Lin, Lu: GMM and misspecification correction for misspecified models with diverging number of parameters (2019)
  18. Bergtold, Jason S.; Pokharel, Krishna P.; Featherstone, Allen M.; Mo, Lijia: On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables (2018)
  19. Cho, Shinil: Fourier transform and its applications using Microsoft EXCEL (2018)
  20. Duarte, Abraham; Laguna, Manuel; Martí, Rafael: Metaheuristics for business analytics. A decision modeling approach (2018)

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