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 657 articles , 4 standard articles )

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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 (to appear) (2019)
  2. Nikolopoulos, Kostas I.; Thomakos, Dimitrios D.: Forecasting with the Theta method. Theory and applications (2019)
  3. Strub, O.; Trautmann, N.: A two-stage approach to the UCITS-constrained index-tracking problem (2019)
  4. 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)
  5. Cho, Shinil: Fourier transform and its applications using Microsoft EXCEL (2018)
  6. Ferrareso Lona, Liliane Maria: A step by step approach to the modeling of chemical engineering processes. Using Excel for simulation (2018)
  7. Khajavirad, Aida; Sahinidis, Nikolaos V.: A hybrid LP/NLP paradigm for global optimization relaxations (2018)
  8. 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)
  9. Sakai, Tetsuya: Laboratory experiments in information retrieval. Sample sizes, effect sizes, and statistical power (2018)
  10. Stübinger, Johannes; Endres, Sylvia: Pairs trading with a mean-reverting jump-diffusion model on high-frequency data (2018)
  11. 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
  12. Valliant, Richard; Dever, Jill A.; Kreuter, Frauke: Practical tools for designing and weighting survey samples (2018)
  13. Vigerske, Stefan; Gleixner, Ambros: SCIP: global optimization of mixed-integer nonlinear programs in a branch-and-cut framework (2018)
  14. Zhao, Jingxin; Peng, Heng; Huang, Tao: Variance estimation for semiparametric regression models by local averaging (2018)
  15. Antoine Filipovic-Pierucci, Kevin Zarca, Isabelle Durand-Zaleski: Markov Models for Health Economic Evaluations: The R Package heemod (2017) arXiv
  16. Baio, Gianluca; Berardi, Andrea; Heath, Anna: Bayesian cost-effectiveness analysis with the R package BCEA (2017)
  17. Falke, Andreas; Hruschka, Harald: A Monte Carlo study of design-generating algorithms for the latent class mixed logit model (2017)
  18. İç, Yusuf Tansel; Özel, Melis; Kara, İmdat: An integrated fuzzy TOPSIS-knapsack problem model for order selection in a bakery (2017)
  19. Jauhari, Shaurya; Rizvi, S. A. M.: \textitApriori, \textitdenovo mathematical exploration of gene expression mechanism via regression viewpoint with briefly cataloged modeling antiquity (2017)
  20. Koehler, Henning; Link, Sebastian: Inclusion dependencies and their interaction with functional dependencies in SQL (2017)

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