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 669 articles , 4 standard articles )

Showing results 1 to 20 of 669.
Sorted by year (citations)

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  1. Cleff, Thomas: Applied statistics and multivariate data analysis for business and economics. A modern approach using SPSS, Stata, and Excel (2019)
  2. Junghenn, Hugo D.: An introduction to financial mathematics. Option valuation (2019)
  3. Nikolopoulos, Kostas I.; Thomakos, Dimitrios D.: Forecasting with the theta method. Theory and applications (2019)
  4. Strub, O.; Trautmann, N.: A two-stage approach to the UCITS-constrained index-tracking problem (2019)
  5. Vinay Yadav, Subhankar Karmakar, Pradip P. Kalbar, A.K. Dikshit: PyTOPS: A Python based tool for TOPSIS (2019) not zbMATH
  6. 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
  7. 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)
  8. Cho, Shinil: Fourier transform and its applications using Microsoft EXCEL (2018)
  9. Ferrareso Lona, Liliane Maria: A step by step approach to the modeling of chemical engineering processes. Using Excel for simulation (2018)
  10. Gupta, Kavita: Fractional plus fractional capacitated transportation problem with enhanced flow (2018)
  11. Henley, A. J.; Wolf, Dave: Learn data analysis with Python. Lessons in coding (2018)
  12. Khajavirad, Aida; Sahinidis, Nikolaos V.: A hybrid LP/NLP paradigm for global optimization relaxations (2018)
  13. 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)
  14. Sakai, Tetsuya: Laboratory experiments in information retrieval. Sample sizes, effect sizes, and statistical power (2018)
  15. Stübinger, Johannes; Endres, Sylvia: Pairs trading with a mean-reverting jump-diffusion model on high-frequency data (2018)
  16. Swarup Chauhan; Kathleen Sell; Frieder Enzmann; Wolfram Rühaak; Thorsten Wille; Ingo Sass; Michael Kersten: CobWeb - a toolbox for automatic tomographic image analysis based on machine learning techniques (2018) arXiv
  17. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  18. Vigerske, Stefan; Gleixner, Ambros: SCIP: global optimization of mixed-integer nonlinear programs in a branch-and-cut framework (2018)
  19. Zhao, Jingxin; Peng, Heng; Huang, Tao: Variance estimation for semiparametric regression models by local averaging (2018)
  20. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv

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