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 779 articles , 4 standard articles )

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  1. Andrew Lyden, Graeme Flett, Paul G. Tuohy: PyLESA: A Python modelling tool for planning-level Local, integrated, and smart Energy Systems Analysis (2021) not zbMATH
  2. Ashirwad Barnwal, Jennifer Merickel, Matthew Rizzo, Luis Riera-Garcia, Soumik Sarkar, Anuj Sharma: ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections (2021) arXiv
  3. Chambers, Donald R.; Lu, Qin: Introduction to financial mathematics. With computer applications (2021)
  4. Chang, Jow-Ran; Lee, John: Decision tree and Microsoft Excel approach for option pricing model (2021)
  5. Fang, Jiqian (ed.); Hao, Yuantao (ed.); Yu, Chuanhua (ed.); Zhang, Yanbo (ed.); Gu, Jing (ed.); Xu, Tianhe (ed.): Statistical methods for biomedical research. Translated from the 2nd Chinese edition (2021)
  6. Fox, William P.: Nonlinear optimization. Models and applications (2021)
  7. Fox, William P.; Burks, Robert E.: Advanced mathematical modeling with technology (2021)
  8. Gordon, Andrew D.; Russo, Claudio; Szymczak, Marcin; Borgström, Johannes; Rolland, Nicolas; Graepel, Thore; Tarlow, Daniel: Tabular: probabilistic inference from the spreadsheet (2021)
  9. Lee, Cheng Few: Alternative security valuation model: theory and empirical results (2021)
  10. Lee, Cheng Few: Single-index model, multiple-index model, and portfolio selection (2021)
  11. Lee, Cheng Few: Options and option strategies: theory and empirical results (2021)
  12. Lee, Cheng Few; Chen, Yibing; Lee, John: Implied variance estimates for Black-Scholes and CEV OPM: review and comparison (2021)
  13. Ren, Louie; Ren, Peter: On Hoover’s scale-free forecast accuracy metric MAD/mean (2021)
  14. Álvarez, Inmaculada C.; Barbero, Javier and Zofío, José L: A Data Envelopment Analysis Toolbox for MATLAB (2020) not zbMATH
  15. Ceccon, Francesco; Siirola, John D.; Misener, Ruth: SUSPECT: MINLP special structure detector for Pyomo (2020)
  16. Dickson, David C. M.; Hardy, Mary R.; Waters, Howard R.: Actuarial mathematics for life contingent risks (2020)
  17. Fok, Alex; Chew, Hooi Pin: Mathematical models for dental materials research (2020)
  18. Gianluca Baio: survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling (2020) not zbMATH
  19. Gupta, Bhisham C.; Guttman, Irwin; Jayalath, Kalanka P.: Statistics and probability with applications for engineers and scientists using MINITAB, R and JMP (2020)
  20. Khan, Shahjahan: Meta-analysis. Methods for health and experimental studies (2020)

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